[ DevCourseWeb.com ] Udemy - Fundamentals of Deep Learning - Core Concepts and PyTorch

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Last Access Time	Jan. 22, 2026, 11:31 p.m.
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~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/9. Train an MNIST model using PyTorch Lightning II.mp4 118.4 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/10. Next steps.mp4 110.6 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/7. Train an MNIST model using PyTorch's nn module II.mp4 102.1 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/4. Train an MNIST model from scratch in plain PyTorch III.mp4 102.0 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4. Gradient descent.mp4 101.0 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/3. Train an MNIST model from scratch in plain PyTorch II.mp4 96.3 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/2. Train an MNIST model from scratch in plain PyTorch I.mp4 96.2 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/6. Train an MNIST model using PyTorch's nn module I.mp4 84.9 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/8. Train an MNIST model using PyTorch Lightning I.mp4 83.0 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/11. Computational graph IV - backward pass III.mp4 82.7 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/5. Train an MNIST model from scratch in plain PyTorch IV.mp4 75.6 MB
~Get Your Files Here !/1. Deep learning - the big picture/1. Introduction.mp4 72.0 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/10. Computational graph III - backward pass II.mp4 63.5 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/9. Computational graph II - backward pass.mp4 48.1 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/12. Forward and backward pass recap and wrap up.mp4 46.0 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/3. Network view.mp4 45.3 MB
~Get Your Files Here !/4. How to make neural networks work in reality/8. Batch normalization.mp4 43.9 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/5. Calculus detour - partial derivatives and gradient descent.mp4 42.2 MB
~Get Your Files Here !/4. How to make neural networks work in reality/4. Stochastic and mini-batch gradient descent.mp4 39.6 MB
~Get Your Files Here !/4. How to make neural networks work in reality/1. Vanishing gradient problem.mp4 38.3 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/6. Calculus detour - the Chain Rule.mp4 38.2 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/2. Calculus detour.mp4 37.1 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/7. Calculus detour - the Chain Rule II.mp4 36.4 MB
~Get Your Files Here !/1. Deep learning - the big picture/6. Loss functions and training vs inference.mp4 35.8 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/1. Setting up a coding environment using Anaconda and Jupyter Notebook in Vscode.mp4 33.6 MB
~Get Your Files Here !/4. How to make neural networks work in reality/5. Other optimizers I.mp4 33.3 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/8. Linear Algebra detour.mp4 33.1 MB
~Get Your Files Here !/1. Deep learning - the big picture/5. Deep neural network as features and weights.mp4 32.7 MB
~Get Your Files Here !/4. How to make neural networks work in reality/9. Overfitting I - problem and solution overview.mp4 31.2 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/9. Vectorization (= parallelization).mp4 29.3 MB
~Get Your Files Here !/4. How to make neural networks work in reality/11. Softmax activation.mp4 28.8 MB
~Get Your Files Here !/4. How to make neural networks work in reality/7. Hyperparameter tuning strategies.mp4 27.8 MB
~Get Your Files Here !/4. How to make neural networks work in reality/13. Cross entropy loss.mp4 26.0 MB
~Get Your Files Here !/1. Deep learning - the big picture/3. Different types of machine learning supervised, unsupervised, and reinforcement.mp4 25.9 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/10. Scalability and emergent properties.mp4 25.4 MB
~Get Your Files Here !/4. How to make neural networks work in reality/10. Overfitting II - regularization and drop out.mp4 25.4 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/5. The “Deep” in deep learning.mp4 25.1 MB
~Get Your Files Here !/1. Deep learning - the big picture/4. The big picture.mp4 24.3 MB
~Get Your Files Here !/4. How to make neural networks work in reality/2. Vanishing gradient solutions I.mp4 22.4 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/7. Overparameterization and overfitting.mp4 20.0 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/2. Numerical analysis - a.k.a. “trial-and-error”.mp4 18.8 MB
~Get Your Files Here !/1. Deep learning - the big picture/8. How to make neural networks feel intuitive.mp4 18.3 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/1. Linear regression and MSE loss.mp4 18.0 MB
~Get Your Files Here !/4. How to make neural networks work in reality/3. Vanishing gradient solutions II.mp4 17.5 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/6. Activation Function.mp4 17.5 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/3. Calculus detour II.mp4 15.9 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/4. Perceptrons.mp4 15.5 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/8. Computational graph I - forward pass.mp4 15.1 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/1. The back propagation algorithm.mp4 14.4 MB
~Get Your Files Here !/1. Deep learning - the big picture/7. Why deep learning is unintuitive and how to get good at it.mp4 14.1 MB
~Get Your Files Here !/1. Deep learning - the big picture/9. Course overview.mp4 13.8 MB
~Get Your Files Here !/1. Deep learning - the big picture/2. What is Machine Learning exactly.mp4 12.4 MB
~Get Your Files Here !/4. How to make neural networks work in reality/6. Other optimizers II.mp4 11.6 MB
~Get Your Files Here !/4. How to make neural networks work in reality/12. Loss functions.mp4 11.6 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/11. Recap of the forward pass and brief introduction to backward pass.mp4 11.3 MB
~Get Your Files Here !/4. How to make neural networks work in reality/1.1 lecture23.pdf 1.6 MB
~Get Your Files Here !/4. How to make neural networks work in reality/9.1 lecture29.pdf 1.5 MB
~Get Your Files Here !/1. Deep learning - the big picture/8.1 lecture2_6.pdf 1.5 MB
~Get Your Files Here !/4. How to make neural networks work in reality/10.1 lecture30.pdf 1.4 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/6.1 lecture18.pdf 1.4 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/2.1 lecture15.pdf 1.3 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/1.1 lecture3.pdf 1.3 MB
~Get Your Files Here !/1. Deep learning - the big picture/3.1 lecture2.pdf 1.3 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/5.1 lecture17.pdf 1.3 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/5.1 lecture7.pdf 1.2 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/12.1 lecture22.pdf 1.2 MB
~Get Your Files Here !/4. How to make neural networks work in reality/4.1 lecture25.pdf 1.2 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/7.1 lecture18_2.pdf 1.2 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/11.1 lecture21.pdf 1.1 MB
~Get Your Files Here !/4. How to make neural networks work in reality/2.1 lecture24.pdf 1.1 MB
~Get Your Files Here !/1. Deep learning - the big picture/6.1 lecture2_4.pdf 1004.4 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/9.1 lecture11.pdf 1002.8 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/7.1 lecture9.pdf 988.9 KB
~Get Your Files Here !/4. How to make neural networks work in reality/8.1 lecture28.pdf 952.4 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/4.1 lecture6.pdf 934.7 KB
~Get Your Files Here !/1. Deep learning - the big picture/9.1 lecture2_7.pdf 931.7 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4.1 lecture16.pdf 929.5 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/6.1 lecture8.pdf 899.8 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/3.1 lecture5.pdf 863.8 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/10.1 lecture12.pdf 846.3 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/3.1 lecture15_2.pdf 844.1 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/8.1 lecture10.pdf 838.4 KB
~Get Your Files Here !/4. How to make neural networks work in reality/3.1 lecture24_2.pdf 764.2 KB
~Get Your Files Here !/1. Deep learning - the big picture/7.1 lecture2_5.pdf 760.1 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/2.1 lecture4.pdf 751.9 KB
~Get Your Files Here !/4. How to make neural networks work in reality/7.1 lecture27.pdf 720.8 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/9.1 lecture20.pdf 592.6 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/10.1 lecture20_2.pdf 578.1 KB
~Get Your Files Here !/4. How to make neural networks work in reality/5.1 lecture26.pdf 537.4 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/11.1 lecture13.pdf 525.4 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/8.1 lecture19.pdf 503.6 KB
~Get Your Files Here !/1. Deep learning - the big picture/5.1 lecture2_3.pdf 486.3 KB
~Get Your Files Here !/1. Deep learning - the big picture/2.1 lecture1.pdf 351.0 KB
~Get Your Files Here !/4. How to make neural networks work in reality/6.1 lecture26_2.pdf 305.2 KB
~Get Your Files Here !/1. Deep learning - the big picture/4.1 lecture2_2.pdf 88.9 KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/10. Next steps.srt 28.3 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4. Gradient descent.srt 23.6 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/11. Computational graph IV - backward pass III.srt 23.4 KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/7. Train an MNIST model using PyTorch's nn module II.srt 22.6 KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/9. Train an MNIST model using PyTorch Lightning II.srt 22.5 KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/4. Train an MNIST model from scratch in plain PyTorch III.srt 22.4 KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/5. Train an MNIST model from scratch in plain PyTorch IV.srt 22.0 KB
~Get Your Files Here !/4. How to make neural networks work in reality/4. Stochastic and mini-batch gradient descent.srt 21.9 KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/6. Train an MNIST model using PyTorch's nn module I.srt 21.2 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/7. Calculus detour - the Chain Rule II.srt 21.1 KB
~Get Your Files Here !/4. How to make neural networks work in reality/1. Vanishing gradient problem.srt 20.9 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/6. Calculus detour - the Chain Rule.srt 20.1 KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/2. Train an MNIST model from scratch in plain PyTorch I.srt 19.5 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/8. Linear Algebra detour.srt 18.9 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/2. Calculus detour.srt 17.6 KB
~Get Your Files Here !/4. How to make neural networks work in reality/2. Vanishing gradient solutions I.srt 17.4 KB
~Get Your Files Here !/4. How to make neural networks work in reality/9. Overfitting I - problem and solution overview.srt 17.3 KB
~Get Your Files Here !/1. Deep learning - the big picture/3. Different types of machine learning supervised, unsupervised, and reinforcement.srt 17.1 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/3. Network view.srt 17.1 KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/3. Train an MNIST model from scratch in plain PyTorch II.srt 16.7 KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/8. Train an MNIST model using PyTorch Lightning I.srt 16.1 KB
~Get Your Files Here !/4. How to make neural networks work in reality/13. Cross entropy loss.srt 15.2 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/10. Computational graph III - backward pass II.srt 14.5 KB
~Get Your Files Here !/4. How to make neural networks work in reality/10. Overfitting II - regularization and drop out.srt 14.4 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/9. Vectorization (= parallelization).srt 13.7 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/9. Computational graph II - backward pass.srt 13.5 KB
~Get Your Files Here !/4. How to make neural networks work in reality/8. Batch normalization.srt 13.4 KB
~Get Your Files Here !/4. How to make neural networks work in reality/5. Other optimizers I.srt 13.2 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/12. Forward and backward pass recap and wrap up.srt 13.1 KB
~Get Your Files Here !/4. How to make neural networks work in reality/11. Softmax activation.srt 12.9 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/10. Scalability and emergent properties.srt 12.8 KB
~Get Your Files Here !/4. How to make neural networks work in reality/7. Hyperparameter tuning strategies.srt 12.0 KB
~Get Your Files Here !/1. Deep learning - the big picture/6. Loss functions and training vs inference.srt 11.9 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/6. Activation Function.srt 11.6 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/5. The “Deep” in deep learning.srt 11.6 KB
~Get Your Files Here !/1. Deep learning - the big picture/5. Deep neural network as features and weights.srt 11.5 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/5. Calculus detour - partial derivatives and gradient descent.srt 11.2 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/1. Linear regression and MSE loss.srt 11.0 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/7. Overparameterization and overfitting.srt 10.5 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/2. Numerical analysis - a.k.a. “trial-and-error”.srt 10.5 KB
~Get Your Files Here !/1. Deep learning - the big picture/7. Why deep learning is unintuitive and how to get good at it.srt 10.2 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/3. Calculus detour II.srt 10.1 KB
~Get Your Files Here !/4. How to make neural networks work in reality/3. Vanishing gradient solutions II.srt 9.9 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/4. Perceptrons.srt 9.8 KB
~Get Your Files Here !/1. Deep learning - the big picture/9. Course overview.srt 9.7 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/8. Computational graph I - forward pass.srt 8.6 KB
~Get Your Files Here !/4. How to make neural networks work in reality/12. Loss functions.srt 8.4 KB
~Get Your Files Here !/1. Deep learning - the big picture/8. How to make neural networks feel intuitive.srt 8.3 KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/1. The back propagation algorithm.srt 8.1 KB
~Get Your Files Here !/1. Deep learning - the big picture/2. What is Machine Learning exactly.srt 8.0 KB
~Get Your Files Here !/4. How to make neural networks work in reality/6. Other optimizers II.srt 7.5 KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/1. Setting up a coding environment using Anaconda and Jupyter Notebook in Vscode.srt 7.5 KB
~Get Your Files Here !/1. Deep learning - the big picture/4. The big picture.srt 7.1 KB
~Get Your Files Here !/1. Deep learning - the big picture/1. Introduction.srt 6.7 KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/11. Recap of the forward pass and brief introduction to backward pass.srt 6.5 KB
~Get Your Files Here !/Bonus Resources.txt 386 bytes
Get Bonus Downloads Here.url 182 bytes

[ DevCourseWeb.com ] Udemy - Fundamentals of Deep Learning - Core Concepts and PyTorch

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