Coursera – Deep Learning Specialization 2021-4

Creation Time	Dec. 29, 2025, 2:11 p.m.
Last Access Time	Jan. 16, 2026, 11:39 p.m.
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Keywords	Specialization 2021-4 Coursera Deep – Learning
Total Requests	25
Total Files	414
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Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.mp4 191.8 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 12 - Yann LeCun Interview.mp4 166.9 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 15 - Yoshua Bengio Interview.mp4 114.2 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 24 - Ruslan Salakhutdinov Interview.mp4 103.5 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 13 - Andrej Karpathy Interview.mp4 84.0 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 25 - Pieter Abbeel Interview.mp4 80.0 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 26 - Yuanqing Lin Interview.mp4 64.2 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 37 - Ian Goodfellow Interview.mp4 54.5 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 21 - Multi-task Learning.mp4 29.0 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 28 - Bleu Score (Optional).mp4 28.2 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 18 - Bias and Variance with Mismatched Data Distributions.mp4 28.0 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 09 - Gated Recurrent Unit (GRU).mp4 27.0 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 14 - Classic Networks.mp4 26.7 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 15 - Cleaning Up Incorrectly Labeled Data.mp4 26.6 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 35 - Backpropagation Intuition (Optional).mp4 26.0 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 31 - Bounding Box Predictions.mp4 25.8 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 20 - MobileNet.mp4 25.4 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 44 - Triplet Loss.mp4 25.0 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 37 - TensorFlow.mp4 25.0 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 07 - One Layer of a Convolutional Network.mp4 23.8 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 34 - Self-Attention.mp4 23.6 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 03 - Recurrent Neural Network Model.mp4 23.3 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 32 - Why does Batch Norm work.mp4 22.9 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 20 - Transfer Learning.mp4 22.2 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 14 - Derivatives with a Computation Graph.mp4 21.7 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 36 - Transformer Network.mp4 21.2 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 31 - Fitting Batch Norm into a Neural Network.mp4 20.7 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 02 - Orthogonalization.mp4 20.2 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 07 - When to Change Dev Test Sets and Metrics.mp4 20.0 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 31 - Activation Functions.mp4 19.9 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 43 - Forward and Backward Propagation.mp4 19.8 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 10 - CNN Example.mp4 19.8 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 27 - Object Localization.mp4 19.4 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 16 - Mini-batch Gradient Descent.mp4 19.3 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 50 - Style Cost Function.mp4 19.2 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 22 - What is End-to-end Deep Learning.mp4 19.0 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 14 - Carrying Out Error Analysis.mp4 19.0 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 17 - Training and Testing on Different Distributions.mp4 18.9 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 10 - Understanding Human-level Performance.mp4 18.9 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 10 - Long Short Term Memory (LSTM).mp4 18.8 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 04 - Why is Deep Learning taking off.mp4 18.6 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 34 - Anchor Boxes.mp4 18.6 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 26 - State of Computer Vision.mp4 18.5 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 18 - Word2Vec.mp4 18.4 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 30 - Attention Model.mp4 18.3 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 19 - Addressing Data Mismatch.mp4 18.0 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 19 - Negative Sampling.mp4 17.9 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 25 - Beam Search.mp4 17.9 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 17 - Understanding Mini-batch Gradient Descent.mp4 17.7 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 30 - Convolutional Implementation of Sliding Windows.mp4 17.7 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 06 - Language Model and Sequence Generation.mp4 17.7 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 41 - Why Deep Representations.mp4 17.6 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 23 - Whether to use End-to-end Deep Learning.mp4 17.6 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 34 - Softmax Regression.mp4 17.5 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 15 - Properties of Word Embeddings.mp4 17.4 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 40 - Getting your Matrix Dimensions Right.mp4 17.4 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 10 - Gradient Descent.mp4 17.0 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 01 - Train Dev Test sets.mp4 16.8 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 12 - More Derivative Examples.mp4 16.8 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 22 - Debiasing Word Embeddings.mp4 16.7 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 25 - Data Augmentation.mp4 16.5 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 28 - Computing a Neural Network's Output.mp4 16.3 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 21 - Broadcasting in Python.mp4 16.2 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 17 - Learning Word Embeddings.mp4 16.1 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 34 - Gradient Descent for Neural Networks.mp4 16.0 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 02 - Edge Detection Example.mp4 15.9 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 11 - Why Convolutions.mp4 15.9 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 28 - Using an Appropriate Scale to pick Hyperparameters.mp4 15.9 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 18 - Inception Network Motivation.mp4 15.7 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 30 - Normalizing Activations in a Network.mp4 15.6 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 26 - Refinements to Beam Search.mp4 15.6 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 19 - Understanding Exponentially Weighted Averages.mp4 15.6 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 20 - GloVe Word Vectors.mp4 15.6 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 20 - Vectorizing Logistic Regression's Gradient Output.mp4 15.5 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 24 - Transfer Learning.mp4 15.4 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 07 - Binary Classification.mp4 15.2 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 13 - Word Representation.mp4 15.2 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 35 - Multi-Head Attention.mp4 15.2 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 37 - Semantic Segmentation with U-Net.mp4 15.1 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 21 - Gradient Descent with Momentum.mp4 15.0 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 27 - Error Analysis in Beam Search.mp4 15.0 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 05 - Different Types of RNNs.mp4 14.9 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 16 - Why ResNets Work.mp4 14.9 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 19 - Inception Network.mp4 14.8 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 29 - Attention Model Intuition.mp4 14.8 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 06 - Convolutions Over Volume.mp4 14.8 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 47 - What are deep ConvNets learning.mp4 14.7 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 21 - MobileNet Architecture.mp4 14.6 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 41 - What is Face Recognition.mp4 14.3 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 35 - Training a Softmax Classifier.mp4 14.3 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 11 - Bidirectional RNN.mp4 14.2 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 04 - Regularization.mp4 14.2 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 24 - Picking the Most Likely Sentence.mp4 14.1 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 22 - RMSprop.mp4 14.1 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 51 - 1D and 3D Generalizations.mp4 14.1 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 24 - Learning Rate Decay.mp4 14.1 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 04 - Padding.mp4 14.0 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 29 - Vectorizing Across Multiple Examples.mp4 13.9 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 14 - Using Word Embeddings.mp4 13.8 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 09 - Pooling Layers.mp4 13.7 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 07 - Sampling Novel Sequences.mp4 13.7 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 03 - Single Number Evaluation Metric.mp4 13.6 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 23 - Using Open-Source Implementation.mp4 13.5 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 11 - Derivatives.mp4 13.4 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 02 - Bias Variance.mp4 13.4 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 31 - Speech Recognition.mp4 13.3 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 09 - Logistic Regression Cost Function.mp4 13.2 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 02 - Notation.mp4 13.1 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 23 - Adam Optimization Algorithm.mp4 13.0 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 06 - Dropout Regularization.mp4 13.0 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 39 - Forward Propagation in a Deep Network.mp4 13.0 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 38 - Transpose Convolutions.mp4 12.9 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 03 - Supervised Learning with Neural Networks.mp4 12.9 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 05 - Strided Convolutions.mp4 12.8 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 42 - Building Blocks of Deep Neural Networks.mp4 12.8 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 40 - U-Net Architecture.mp4 12.7 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 17 - Vectorization.mp4 12.6 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 04 - Satisficing and Optimizing Metric.mp4 12.5 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 33 - Non-max Suppression.mp4 12.4 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 22 - A Note on Python Numpy Vectors.mp4 12.4 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 08 - Simple Convolutional Network Example.mp4 12.4 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 16 - Build your First System Quickly, then Iterate.mp4 12.2 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 16 - Gradient Descent on m Examples.mp4 12.2 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 03 - More Edge Detection.mp4 12.2 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 36 - Region Proposals (Optional).mp4 12.1 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 30 - Explanation for Vectorized Implementation.mp4 12.0 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 36 - Random Initialization.mp4 12.0 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 08 - Vanishing Gradients with RNNs.mp4 12.0 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 27 - Tuning Process.mp4 11.8 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 08 - Other Regularization Methods.mp4 11.7 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 28 - Landmark Detection.mp4 11.7 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 29 - Hyperparameters Tuning in Practice Pandas vs. Caviar.mp4 11.6 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 35 - YOLO Algorithm.mp4 11.5 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 19 - Vectorizing Logistic Regression.mp4 11.5 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 33 - Derivatives of Activation Functions.mp4 11.4 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 06 - Size of the Dev and Test Sets.mp4 11.3 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 09 - Avoidable Bias.mp4 11.2 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 15 - Logistic Regression Gradient Descent.mp4 11.2 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 15 - ResNets.mp4 11.1 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 05 - Train Dev Test Distributions.mp4 11.0 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 08 - Why Human-level Performance.mp4 10.9 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 21 - Sentiment Classification.mp4 10.9 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 01 - Computer Vision.mp4 10.8 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 07 - Understanding Dropout.mp4 10.8 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 10 - Vanishing Exploding Gradients.mp4 10.7 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 04 - Backpropagation Through Time.mp4 10.7 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 12 - Numerical Approximation of Gradients.mp4 10.6 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 24 - Explanation of Logistic Regression Cost Function (Optional).mp4 10.5 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 05 - Why Regularization Reduces Overfitting.mp4 10.4 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 11 - Surpassing Human-level Performance.mp4 10.4 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 38 - Deep L-layer Neural Network.mp4 10.3 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 18 - More Vectorization Examples.mp4 10.3 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 33 - Transformer Network Intuition.mp4 10.3 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 03 - Basic Recipe for Machine Learning.mp4 10.2 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 44 - Parameters vs Hyperparameters.mp4 10.2 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 01 - Welcome.mp4 10.2 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 23 - Basic Models.mp4 10.2 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 11 - Weight Initialization for Deep Networks.mp4 10.1 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 36 - Deep Learning Frameworks.mp4 10.0 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 02 - What is a Neural Network.mp4 10.0 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 33 - Batch Norm at Test Time.mp4 9.9 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.mp4 9.8 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 45 - Face Verification and Binary Classification.mp4 9.7 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 18 - Exponentially Weighted Averages.mp4 9.6 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 13 - Gradient Checking.mp4 9.6 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 29 - Object Detection.mp4 9.4 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 32 - Why do you need Non-Linear Activation Functions.mp4 9.3 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 23 - Quick tour of Jupyter iPython Notebooks.mp4 9.2 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 12 - Improving your Model Performance.mp4 9.2 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 14 - Gradient Checking Implementation Notes.mp4 9.1 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 20 - Bias Correction in Exponentially Weighted Averages.mp4 9.1 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 22 - EfficientNet.mp4 9.1 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 25 - The Problem of Local Optima.mp4 9.0 MB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 09 - Normalizing Inputs.mp4 8.9 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 16 - Embedding Matrix.mp4 8.7 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 12 - Deep RNNs.mp4 8.6 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 08 - Logistic Regression.mp4 8.5 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 27 - Neural Network Representation.mp4 8.3 MB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 01 - Why ML Strategy.mp4 8.2 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 13 - Why look at case studies.mp4 7.9 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 43 - Siamese Network.mp4 7.6 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 42 - One Shot Learning.mp4 7.4 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 26 - Neural Networks Overview.mp4 7.2 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 32 - Intersection Over Union.mp4 7.2 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 32 - Trigger Word Detection.mp4 7.1 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 48 - Cost Function.mp4 6.7 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 39 - U-Net Architecture Intuition.mp4 6.0 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 45 - What does this have to do with the brain.mp4 6.0 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 13 - Computation Graph.mp4 5.7 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 49 - Content Cost Function.mp4 5.7 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 01 - Why Sequence Models.mp4 5.2 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 37 - Conclusion and Thank You!.mp4 5.2 MB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 05 - About this Course.mp4 4.7 MB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 46 - What is Neural Style Transfer.mp4 4.6 MB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 01 - Why Sequence Models.mp4.jpg 244.0 KB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 01 - Why Sequence Models.mp4.vtx 244.0 KB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 03 - Recurrent Neural Network Model.mp4.jpg 218.1 KB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 03 - Recurrent Neural Network Model.mp4.vtx 218.1 KB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 02 - Notation.mp4.jpg 189.4 KB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 02 - Notation.mp4.vtx 189.4 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.hi.srt 111.5 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.en.srt 57.5 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 12 - Yann LeCun Interview.en.srt 40.9 KB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 15 - Yoshua Bengio Interview.en.srt 34.2 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 04 - Why is Deep Learning taking off.hi.srt 29.2 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 41 - Why Deep Representations.hi.srt 28.4 KB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 24 - Learning Rate Decay.en.srt 9.0 KB
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Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 05 - About this Course.kn.srt 8.9 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 01 - Welcome.en.srt 8.8 KB
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Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 17 - Networks in Networks and 1x1 Convolutions.en.srt 8.5 KB
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Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 05 - About this Course.hi.srt 8.3 KB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 25 - The Problem of Local Optima.en.srt 8.3 KB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 23 - Basic Models.en.srt 8.3 KB
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Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 11 - Weight Initialization for Deep Networks.en.srt 8.0 KB
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Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 29 - Object Detection.en.srt 7.8 KB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 14 - Gradient Checking Implementation Notes.en.srt 7.8 KB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 33 - Batch Norm at Test Time.en.srt 7.8 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 28 - Landmark Detection.en.srt 7.7 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 08 - Logistic Regression.en.srt 7.6 KB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 09 - Normalizing Inputs.en.srt 7.5 KB
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Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 18 - More Vectorization Examples.en.srt 7.4 KB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 16 - Embedding Matrix.en.srt 7.2 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 23 - Using Open-Source Implementation.en.srt 6.8 KB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 12 - Deep RNNs.en.srt 6.7 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 32 - Why do you need Non-Linear Activation Functions.en.srt 6.6 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 41 - What is Face Recognition.en.srt 6.6 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 42 - One Shot Learning.en.srt 6.5 KB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 36 - Deep Learning Frameworks.en.srt 6.5 KB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 33 - Transformer Network Intuition.en.srt 6.3 KB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 12 - Improving your Model Performance.en.srt 6.2 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 43 - Siamese Network.en.srt 6.0 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 26 - Neural Networks Overview.en.srt 5.9 KB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 32 - Trigger Word Detection.en.srt 5.9 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 23 - Quick tour of Jupyter iPython Notebooks.en.srt 5.8 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 22 - EfficientNet.en.srt 5.6 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 32 - Intersection Over Union.en.srt 5.5 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 13 - Computation Graph.en.srt 5.5 KB
Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization 2021-4/deep-neural-network - 20 - Bias Correction in Exponentially Weighted Averages.en.srt 5.2 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 48 - Cost Function.en.srt 5.2 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 49 - Content Cost Function.en.srt 4.9 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 45 - What does this have to do with the brain.en.srt 4.8 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 13 - Why look at case studies.en.srt 4.8 KB
Coursera – Structuring Machine Learning Projects 2021-4/machine-learning-projects - 01 - Why ML Strategy.en.srt 4.5 KB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 01 - Why Sequence Models.en.srt 4.5 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 05 - About this Course.en.srt 4.3 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 39 - U-Net Architecture Intuition.en.srt 4.3 KB
Coursera – Neural Networks and Deep Learning 2021-4/neural-networks-deep-learning - 05 - About this Course.hr.srt 4.2 KB
Coursera - Sequence Models 2021-4-23/nlp-sequence-models - 37 - Conclusion and Thank You!.en.srt 4.0 KB
Coursera – Convolutional Neural Networks 2021-4/convolutional-neural-networks - 46 - What is Neural Style Transfer.en.srt 2.8 KB

Coursera – Deep Learning Specialization 2021-4

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