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

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

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收录时间：2024-02-16
最近下载：2025-02-19

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文件列表

  • ~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/9. Train an MNIST model using PyTorch Lightning II.mp4 124.2 MB
  • ~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/10. Next steps.mp4 115.9 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 107.1 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 107.0 MB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4. Gradient descent.mp4 105.9 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 101.0 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 100.9 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 89.1 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 87.0 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 86.8 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 79.3 MB
  • ~Get Your Files Here !/1. Deep learning - the big picture/1. Introduction.mp4 75.5 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 66.6 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 50.4 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 48.2 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/3. Network view.mp4 47.6 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/8. Batch normalization.mp4 46.0 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 44.2 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/4. Stochastic and mini-batch gradient descent.mp4 41.6 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/1. Vanishing gradient problem.mp4 40.2 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 40.1 MB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/2. Calculus detour.mp4 38.9 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 38.2 MB
  • ~Get Your Files Here !/1. Deep learning - the big picture/6. Loss functions and training vs inference.mp4 37.5 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 35.2 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/5. Other optimizers I.mp4 34.9 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/8. Linear Algebra detour.mp4 34.7 MB
  • ~Get Your Files Here !/1. Deep learning - the big picture/5. Deep neural network as features and weights.mp4 34.3 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/9. Overfitting I - problem and solution overview.mp4 32.7 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/9. Vectorization (= parallelization).mp4 30.7 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/11. Softmax activation.mp4 30.2 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/7. Hyperparameter tuning strategies.mp4 29.1 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/13. Cross entropy loss.mp4 27.2 MB
  • ~Get Your Files Here !/1. Deep learning - the big picture/3. Different types of machine learning supervised, unsupervised, and reinforcement.mp4 27.1 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/10. Scalability and emergent properties.mp4 26.7 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/10. Overfitting II - regularization and drop out.mp4 26.6 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/5. The “Deep” in deep learning.mp4 26.3 MB
  • ~Get Your Files Here !/1. Deep learning - the big picture/4. The big picture.mp4 25.5 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/2. Vanishing gradient solutions I.mp4 23.5 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/7. Overparameterization and overfitting.mp4 21.0 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/2. Numerical analysis - a.k.a. “trial-and-error”.mp4 19.7 MB
  • ~Get Your Files Here !/1. Deep learning - the big picture/8. How to make neural networks feel intuitive.mp4 19.2 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/1. Linear regression and MSE loss.mp4 18.8 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/3. Vanishing gradient solutions II.mp4 18.4 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/6. Activation Function.mp4 18.4 MB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/3. Calculus detour II.mp4 16.6 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/4. Perceptrons.mp4 16.3 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 15.8 MB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/1. The back propagation algorithm.mp4 15.1 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 14.8 MB
  • ~Get Your Files Here !/1. Deep learning - the big picture/9. Course overview.mp4 14.4 MB
  • ~Get Your Files Here !/1. Deep learning - the big picture/2. What is Machine Learning exactly.mp4 13.0 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/6. Other optimizers II.mp4 12.2 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/12. Loss functions.mp4 12.2 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 11.8 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/1.1 lecture23.pdf 1.7 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/9.1 lecture29.pdf 1.6 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 1.5 MB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/6.1 lecture18.pdf 1.5 MB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/2.1 lecture15.pdf 1.4 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/1.1 lecture3.pdf 1.4 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 1.3 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 1.2 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 1.0 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/9.1 lecture11.pdf 1.0 MB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/7.1 lecture9.pdf 1.0 MB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/8.1 lecture28.pdf 975.2 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/4.1 lecture6.pdf 957.1 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/9.1 lecture2_7.pdf 954.1 kB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4.1 lecture16.pdf 951.8 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/6.1 lecture8.pdf 921.4 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/3.1 lecture5.pdf 884.6 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/10.1 lecture12.pdf 866.7 kB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/3.1 lecture15_2.pdf 864.3 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/8.1 lecture10.pdf 858.5 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/3.1 lecture24_2.pdf 782.5 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/7.1 lecture2_5.pdf 778.4 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/2.1 lecture4.pdf 770.0 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/7.1 lecture27.pdf 738.1 kB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/9.1 lecture20.pdf 606.8 kB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/10.1 lecture20_2.pdf 591.9 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/5.1 lecture26.pdf 550.3 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/11.1 lecture13.pdf 538.0 kB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/8.1 lecture19.pdf 515.7 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/5.1 lecture2_3.pdf 498.0 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/2.1 lecture1.pdf 359.4 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/6.1 lecture26_2.pdf 312.6 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/4.1 lecture2_2.pdf 91.0 kB
  • ~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/10. Next steps.srt 29.0 kB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4. Gradient descent.srt 24.1 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 24.0 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 23.1 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 23.0 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 22.9 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 22.5 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/4. Stochastic and mini-batch gradient descent.srt 22.4 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 21.7 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 21.6 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/1. Vanishing gradient problem.srt 21.4 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 20.6 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 19.9 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/8. Linear Algebra detour.srt 19.4 kB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/2. Calculus detour.srt 18.1 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/2. Vanishing gradient solutions I.srt 17.8 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/9. Overfitting I - problem and solution overview.srt 17.7 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/3. Different types of machine learning supervised, unsupervised, and reinforcement.srt 17.5 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/3. Network view.srt 17.5 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 17.1 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 16.5 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/13. Cross entropy loss.srt 15.6 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 14.8 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/10. Overfitting II - regularization and drop out.srt 14.8 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/9. Vectorization (= parallelization).srt 14.0 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 13.8 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/8. Batch normalization.srt 13.7 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/5. Other optimizers I.srt 13.5 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 13.4 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/11. Softmax activation.srt 13.2 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/10. Scalability and emergent properties.srt 13.1 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/7. Hyperparameter tuning strategies.srt 12.3 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/6. Loss functions and training vs inference.srt 12.2 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/6. Activation Function.srt 11.9 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/5. The “Deep” in deep learning.srt 11.8 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/5. Deep neural network as features and weights.srt 11.8 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 11.5 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/1. Linear regression and MSE loss.srt 11.2 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/7. Overparameterization and overfitting.srt 10.8 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/2. Numerical analysis - a.k.a. “trial-and-error”.srt 10.7 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 10.4 kB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/3. Calculus detour II.srt 10.3 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/3. Vanishing gradient solutions II.srt 10.1 kB
  • ~Get Your Files Here !/2. Reinventing deep neural network from scratch/4. Perceptrons.srt 10.1 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/9. Course overview.srt 9.9 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 8.8 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/12. Loss functions.srt 8.6 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/8. How to make neural networks feel intuitive.srt 8.5 kB
  • ~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/1. The back propagation algorithm.srt 8.3 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/2. What is Machine Learning exactly.srt 8.2 kB
  • ~Get Your Files Here !/4. How to make neural networks work in reality/6. Other optimizers II.srt 7.7 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 7.7 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/4. The big picture.srt 7.3 kB
  • ~Get Your Files Here !/1. Deep learning - the big picture/1. Introduction.srt 6.9 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 6.6 kB
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • Get Bonus Downloads Here.url 182 Bytes

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