Other
[ FreeCourseWeb com ] Udemy - Finally GET Deep Learning
Torrent info
Torrent Files List
Get Bonus Downloads Here.url (Size: 2.29 GB) (Files: 152)
Get Bonus Downloads Here.url
~Get Your Files Here !
01 Deep learning - the big picture
001 Introduction.en.srt
001 Introduction.mp4
002 What is Machine Learning exactly_.en.srt
002 What is Machine Learning exactly_.mp4
002 lecture1.pdf
003 Different types of machine learning_ supervised, unsupervised, and reinforcement.en.srt
003 Different types of machine learning_ supervised, unsupervised, and reinforcement.mp4
003 lecture2.pdf
004 The big picture.en.srt
004 The big picture.mp4
004 lecture2_2.pdf
005 Deep neural network as features and weights.en.srt
005 Deep neural network as features and weights.mp4
005 lecture2_3.pdf
006 Loss functions and training vs inference.en.srt
006 Loss functions and training vs inference.mp4
006 lecture2_4.pdf
007 Why deep learning is unintuitive and how to get good at it.en.srt
007 Why deep learning is unintuitive and how to get good at it.mp4
007 lecture2_5.pdf
008 How to make neural networks feel intuitive.en.srt
008 How to make neural networks feel intuitive.mp4
008 lecture2_6.pdf
009 Course overview.en.srt
009 Course overview.mp4
009 lecture2_7.pdf
02 Reinventing deep neural network from scratch
001 Linear regression and MSE loss.en.srt
001 Linear regression and MSE loss.mp4
002 Numerical analysis - a.k.a. “trial-and-errorâ€.en.srt
002 Numerical analysis - a.k.a. “trial-and-errorâ€.mp4
003 Network view.en.srt
003 Network view.mp4
004 Perceptrons.en.srt
004 Perceptrons.mp4
005 The “Deep†in deep learning.en.srt
005 The “Deep†in deep learning.mp4
006 Activation Function.en.srt
006 Activation Function.mp4
007 Overparameterization and overfitting.en.srt
007 Overparameterization and overfitting.mp4
008 Linear Algebra detour.en.srt
008 Linear Algebra detour.mp4
009 Vectorization (= parallelization).en.srt
009 Vectorization (= parallelization).mp4
010 Scalability and emergent properties.en.srt
010 Scalability and emergent properties.mp4
010 lecture3.pdf
011 Recap of the forward pass and brief introduction to backward pass.en.srt
011 Recap of the forward pass and brief introduction to backward pass.mp4
011 lecture4.pdf
012 lecture5.pdf
013 lecture6.pdf
014 lecture7.pdf
015 lecture8.pdf
016 lecture9.pdf
017 lecture10.pdf
018 lecture11.pdf
019 lecture12.pdf
020 lecture13.pdf
03 How the model learns on its own - Back Propagation algorithm deep-div
001 The back propagation algorithm.en.srt
001 The back propagation algorithm.mp4
002 Calculus detour.en.srt
002 Calculus detour.mp4
003 Calculus detour II.en.srt
003 Calculus detour II.mp4
004 Gradient descent.en.srt
004 Gradient descent.mp4
005 Calculus detour - partial derivatives and gradient descent.en.srt
005 Calculus detour - partial derivatives and gradient descent.mp4
006 Calculus detour - the Chain Rule.en.srt
006 Calculus detour - the Chain Rule.mp4
007 Calculus detour - the Chain Rule II.en.srt
007 Calculus detour - the Chain Rule II.mp4
008 Computational graph I - forward pass.en.srt
008 Computational graph I - forward pass.mp4
009 Computational graph II - backward pass.en.srt
009 Computational graph II - backward pass.mp4
010 Computational graph III - backward pass II.en.srt
010 Computational graph III - backward pass II.mp4
011 Computational graph IV - backward pass III.en.srt
011 Computational graph IV - backward pass III.mp4
012 Forward and backward pass recap and wrap up.en.srt
012 Forward and backward pass recap and wrap up.mp4
022 lecture15.pdf
023 lecture15_2.pdf
024 lecture16.pdf
025 lecture17.pdf
026 lecture18.pdf
027 lecture18_2.pdf
028 lecture19.pdf
029 lecture20.pdf
030 lecture20_2.pdf
031 lecture21.pdf
032 lecture22.pdf
04 How to make neural networks work in reality
001 Vanishing gradient problem.en.srt
001 Vanishing gradient problem.mp4
002 Vanishing gradient solutions I.en.srt
002 Vanishing gradient solutions I.mp4
003 Vanishing gradient solutions II.en.srt
003 Vanishing gradient solutions II.mp4
004 Stochastic and mini-batch gradient descent.en.srt
004 Stochastic and mini-batch gradient descent.mp4
005 Other optimizers I.en.srt
005 Other optimizers I.mp4
006 Other optimizers II.en.srt
006 Other optimizers II.mp4
007 Hyperparameter tuning strategies.en.srt
007 Hyperparameter tuning strategies.mp4
008 Batch normalization.en.srt
008 Batch normalization.mp4
009 Overfitting I - problem and solution overview.en.srt
009 Overfitting I - problem and solution overview.mp4
010 Overfitting II - regularization and drop out.en.srt
010 Overfitting II - regularization and drop out.mp4
011 Softmax activation.en.srt
011 Softmax activation.mp4
012 Loss functions.en.srt
012 Loss functions.mp4
013 Cross entropy loss.en.srt
013 Cross entropy loss.mp4
033 lecture23.pdf
034 lecture24.pdf
035 lecture24_2.pdf
036 lecture25.pdf
037 lecture26.pdf
038 lecture26_2.pdf
039 lecture27.pdf
040 lecture28.pdf
041 lecture29.pdf
042 lecture30.pdf
05 Coding deep neural networks in PyTorch and PyTorch Lightning
001 Setting up a coding environment using Anaconda and Jupyter Notebook in Vscode.en.srt
001 Setting up a coding environment using Anaconda and Jupyter Notebook in Vscode.mp4
002 Train an MNIST model from scratch in plain PyTorch I.en.srt
002 Train an MNIST model from scratch in plain PyTorch I.mp4
003 Train an MNIST model from scratch in plain PyTorch II.en.srt
003 Train an MNIST model from scratch in plain PyTorch II.mp4
004 Train an MNIST model from scratch in plain PyTorch III.en.srt
004 Train an MNIST model from scratch in plain PyTorch III.mp4
005 Train an MNIST model from scratch in plain PyTorch IV.en.srt
005 Train an MNIST model from scratch in plain PyTorch IV.mp4
006 Train an MNIST model using PyTorch's nn module I.en.srt
006 Train an MNIST model using PyTorch's nn module I.mp4
007 Train an MNIST model using PyTorch's nn module II.en.srt
007 Train an MNIST model using PyTorch's nn module II.mp4
008 Train an MNIST model using PyTorch Lightning I.en.srt
008 Train an MNIST model using PyTorch Lightning I.mp4
009 Train an MNIST model using PyTorch Lightning II.en.srt
009 Train an MNIST model using PyTorch Lightning II.mp4
010 Next steps.en.srt
010 Next steps.mp4
Bonus Resources.txt
Torrent description
Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information, Watch [ FreeCourseWeb com ] Udemy - Finally GET Deep Learning Online Free Full Movies Like 123Movies, Putlockers, Fmovies, Netflix or Download Direct via Magnet Link in Torrent Details.
