~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/9. Train an MNIST model using PyTorch Lightning II.mp4 118MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/10. Next steps.mp4 111MB
~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 102MB
~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 102MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4. Gradient descent.mp4 101MB
~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 96MB
~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 96MB
~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 85MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/8. Train an MNIST model using PyTorch Lightning I.mp4 83MB
~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 83MB
~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 76MB
~Get Your Files Here !/1. Deep learning - the big picture/1. Introduction.mp4 72MB
~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 64MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/9. Computational graph II - backward pass.mp4 48MB
~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 46MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/3. Network view.mp4 45MB
~Get Your Files Here !/4. How to make neural networks work in reality/8. Batch normalization.mp4 44MB
~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 42MB
~Get Your Files Here !/4. How to make neural networks work in reality/4. Stochastic and mini-batch gradient descent.mp4 40MB
~Get Your Files Here !/4. How to make neural networks work in reality/1. Vanishing gradient problem.mp4 38MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/6. Calculus detour - the Chain Rule.mp4 38MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/2. Calculus detour.mp4 37MB
~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 36MB
~Get Your Files Here !/1. Deep learning - the big picture/6. Loss functions and training vs inference.mp4 36MB
~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 34MB
~Get Your Files Here !/4. How to make neural networks work in reality/5. Other optimizers I.mp4 33MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/8. Linear Algebra detour.mp4 33MB
~Get Your Files Here !/1. Deep learning - the big picture/5. Deep neural network as features and weights.mp4 33MB
~Get Your Files Here !/4. How to make neural networks work in reality/9. Overfitting I - problem and solution overview.mp4 31MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/9. Vectorization (= parallelization).mp4 29MB
~Get Your Files Here !/4. How to make neural networks work in reality/11. Softmax activation.mp4 29MB
~Get Your Files Here !/4. How to make neural networks work in reality/7. Hyperparameter tuning strategies.mp4 28MB
~Get Your Files Here !/4. How to make neural networks work in reality/13. Cross entropy loss.mp4 26MB
~Get Your Files Here !/1. Deep learning - the big picture/3. Different types of machine learning supervised, unsupervised, and reinforcement.mp4 26MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/10. Scalability and emergent properties.mp4 25MB
~Get Your Files Here !/4. How to make neural networks work in reality/10. Overfitting II - regularization and drop out.mp4 25MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/5. The “Deep” in deep learning.mp4 25MB
~Get Your Files Here !/1. Deep learning - the big picture/4. The big picture.mp4 24MB
~Get Your Files Here !/4. How to make neural networks work in reality/2. Vanishing gradient solutions I.mp4 22MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/7. Overparameterization and overfitting.mp4 20MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/2. Numerical analysis - a.k.a. “trial-and-error”.mp4 19MB
~Get Your Files Here !/1. Deep learning - the big picture/8. How to make neural networks feel intuitive.mp4 18MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/1. Linear regression and MSE loss.mp4 18MB
~Get Your Files Here !/4. How to make neural networks work in reality/3. Vanishing gradient solutions II.mp4 18MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/6. Activation Function.mp4 18MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/3. Calculus detour II.mp4 16MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/4. Perceptrons.mp4 16MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/8. Computational graph I - forward pass.mp4 15MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/1. The back propagation algorithm.mp4 14MB
~Get Your Files Here !/1. Deep learning - the big picture/7. Why deep learning is unintuitive and how to get good at it.mp4 14MB
~Get Your Files Here !/1. Deep learning - the big picture/9. Course overview.mp4 14MB
~Get Your Files Here !/1. Deep learning - the big picture/2. What is Machine Learning exactly.mp4 12MB
~Get Your Files Here !/4. How to make neural networks work in reality/6. Other optimizers II.mp4 12MB
~Get Your Files Here !/4. How to make neural networks work in reality/12. Loss functions.mp4 12MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/11. Recap of the forward pass and brief introduction to backward pass.mp4 11MB
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~Get Your Files Here !/4. How to make neural networks work in reality/9.1 lecture29.pdf 2MB
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~Get Your Files Here !/4. How to make neural networks work in reality/10.1 lecture30.pdf 1MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/6.1 lecture18.pdf 1MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/2.1 lecture15.pdf 1MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/1.1 lecture3.pdf 1MB
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~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/5.1 lecture17.pdf 1MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/5.1 lecture7.pdf 1MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/12.1 lecture22.pdf 1MB
~Get Your Files Here !/4. How to make neural networks work in reality/4.1 lecture25.pdf 1MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/7.1 lecture18_2.pdf 1MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/11.1 lecture21.pdf 1MB
~Get Your Files Here !/4. How to make neural networks work in reality/2.1 lecture24.pdf 1MB
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~Get Your Files Here !/2. Reinventing deep neural network from scratch/9.1 lecture11.pdf 1003KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/7.1 lecture9.pdf 989KB
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~Get Your Files Here !/2. Reinventing deep neural network from scratch/4.1 lecture6.pdf 935KB
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~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4.1 lecture16.pdf 929KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/6.1 lecture8.pdf 900KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/3.1 lecture5.pdf 864KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/10.1 lecture12.pdf 846KB
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~Get Your Files Here !/2. Reinventing deep neural network from scratch/8.1 lecture10.pdf 838KB
~Get Your Files Here !/4. How to make neural networks work in reality/3.1 lecture24_2.pdf 764KB
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~Get Your Files Here !/2. Reinventing deep neural network from scratch/2.1 lecture4.pdf 752KB
~Get Your Files Here !/4. How to make neural networks work in reality/7.1 lecture27.pdf 721KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/9.1 lecture20.pdf 593KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/10.1 lecture20_2.pdf 578KB
~Get Your Files Here !/4. How to make neural networks work in reality/5.1 lecture26.pdf 537KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/11.1 lecture13.pdf 525KB
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~Get Your Files Here !/1. Deep learning - the big picture/4.1 lecture2_2.pdf 89KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/10. Next steps.srt 28KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4. Gradient descent.srt 24KB
~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 23KB
~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 23KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/9. Train an MNIST model using PyTorch Lightning II.srt 22KB
~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 22KB
~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 22KB
~Get Your Files Here !/4. How to make neural networks work in reality/4. Stochastic and mini-batch gradient descent.srt 22KB
~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 21KB
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~Get Your Files Here !/4. How to make neural networks work in reality/1. Vanishing gradient problem.srt 21KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/6. Calculus detour - the Chain Rule.srt 20KB
~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 19KB
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~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/2. Calculus detour.srt 18KB
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~Get Your Files Here !/4. How to make neural networks work in reality/9. Overfitting I - problem and solution overview.srt 17KB
~Get Your Files Here !/1. Deep learning - the big picture/3. Different types of machine learning supervised, unsupervised, and reinforcement.srt 17KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/3. Network view.srt 17KB
~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 17KB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/8. Train an MNIST model using PyTorch Lightning I.srt 16KB
~Get Your Files Here !/4. How to make neural networks work in reality/13. Cross entropy loss.srt 15KB
~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 14KB
~Get Your Files Here !/4. How to make neural networks work in reality/10. Overfitting II - regularization and drop out.srt 14KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/9. Vectorization (= parallelization).srt 14KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/9. Computational graph II - backward pass.srt 14KB
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~Get Your Files Here !/4. How to make neural networks work in reality/5. Other optimizers I.srt 13KB
~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 13KB
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~Get Your Files Here !/2. Reinventing deep neural network from scratch/10. Scalability and emergent properties.srt 13KB
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~Get Your Files Here !/1. Deep learning - the big picture/6. Loss functions and training vs inference.srt 12KB
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~Get Your Files Here !/2. Reinventing deep neural network from scratch/5. The “Deep” in deep learning.srt 12KB
~Get Your Files Here !/1. Deep learning - the big picture/5. Deep neural network as features and weights.srt 12KB
~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 11KB
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~Get Your Files Here !/2. Reinventing deep neural network from scratch/7. Overparameterization and overfitting.srt 11KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/2. Numerical analysis - a.k.a. “trial-and-error”.srt 10KB
~Get Your Files Here !/1. Deep learning - the big picture/7. Why deep learning is unintuitive and how to get good at it.srt 10KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/3. Calculus detour II.srt 10KB
~Get Your Files Here !/4. How to make neural networks work in reality/3. Vanishing gradient solutions II.srt 10KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/4. Perceptrons.srt 10KB
~Get Your Files Here !/1. Deep learning - the big picture/9. Course overview.srt 10KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/8. Computational graph I - forward pass.srt 9KB
~Get Your Files Here !/4. How to make neural networks work in reality/12. Loss functions.srt 8KB
~Get Your Files Here !/1. Deep learning - the big picture/8. How to make neural networks feel intuitive.srt 8KB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/1. The back propagation algorithm.srt 8KB
~Get Your Files Here !/1. Deep learning - the big picture/2. What is Machine Learning exactly.srt 8KB
~Get Your Files Here !/4. How to make neural networks work in reality/6. Other optimizers II.srt 8KB
~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 8KB
~Get Your Files Here !/1. Deep learning - the big picture/4. The big picture.srt 7KB
~Get Your Files Here !/1. Deep learning - the big picture/1. Introduction.srt 7KB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/11. Recap of the forward pass and brief introduction to backward pass.srt 6KB