Yousuf28/Deep_Learning_Materials

Deep Learning materials

Deep_Learning_Materials

Deep Learning

Courses

Luis Serrano_Deep_learning_youtube

Coursera_Deep Learning Specialization

fast_ai_course

Deep_learning_Stanford_University

MIT Deep Learning

Convolutional Neural Networks for visual recognition_stanford_notes

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Resources

deep_learning_udacity_github_

Deep learning_Andrew Ng_coursera_youtube-link

Practical Deep Learning for Coders_fast.ai

Michael Nielsen_book

Machine Learning & Deep Learning Fundamentals_deeplizard

PyTorch_deeplizard

The Complete Guide on Learning Deep Learning

Machine Learning & Deep Learning Tutorials

Machine Learning Resources_ritchie ng

Deep Learning Wizard

Deep learning_3Blue1Brown

GLUON

jeremyjordan

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Artificial Neural Networks (ANN)

• A Visual and Interactive Guide to the Basics of Neural Networks_Jay Alammar

• A Visual And Interactive Look at Basic Neural Network Math_Jay Alammar

Backpropagation

• A Step by Step Backpropagation Example

• Yes you should understand backprop_Andrej Karpathy

Optimazation

• An overview of gradient descent optimization algorithms

• Intro to optimization in deep learning: Vanishing gradients and choosing the right activation function

• Understanding Activation Functions in Neural Networks

• Activation Functions in Neural Networks

• 7 Types of Neural Network Activation Functions: How to Choose?

Visuals

• Tinker With a Neural Network Right Here in Your Browser_Playground_tensorflow

• Publication-ready NN-architecture schematics

• Deep Learning in your browser

• Matrix Multiplication

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Convolutional Neural Networks (CNN)

• A friendly introduction to Convolutional Neural Networks and Image Recognition_Luis_youtube

• Convolutional Neural Networks_CS231n_stanford

• Interns Explain CNN_medium

• Convolutional neural networks from scratch_GLUON

Weight Initialization

• weight_initialization_udacity

• Why Initialize a Neural Network with Random Weights?

• weight-initialization_medium

Autoencoder

• A Simple Autoencoder_udacity

• autoencoder_CNN_udacity

• Denoising Autoencoder_udacity

• What is an Autoencoder? | Two Minute Papers_youtube

Transfer Learning

• TORCHVISION.MODELS

• TRANSFER LEARNING TUTORIAL

• Transfer Learning with Convolutional Neural Networks in PyTorch_medium

• Transfer learning from pre-trained models_medium

• How to Use The Pre-Trained VGG Model to Classify Objects in Photographs

• Breakthrough Research Papers About Image Classification_model_description

Style Transfer

• Image Style Transfer Using Convolutional Neural Networks_paper

• Style Transfer_Udacity

• Neural Style Transfer Tutorial -Part 1_medium

• Neural Style Transfer - the math & code

• NEURAL TRANSFER USING PYTORCH_pytorch

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Recurrent Neural Network (RNN)

• A friendly introduction to Recurrent Neural Networks_Luis_Serrano_youtube

• The Unreasonable Effectiveness of Recurrent Neural Networks_Andrej Karpathy blog

• Illustrated Guide to Recurrent Neural Networks_medium

Long Short-Term Memory Network (LSTM)

• Understanding LSTM Networks_Christopher Olah

• Illustrated Guide to LSTM’s and GRU’s: A step by step explanation_medium

• To understand LSTM architecture, code a forward pass with just NumPy_medium

• Understanding architecture of LSTM cell from scratch with code_hacker noon

• Long Short-Term Memory (LSTM) network with PyTorch_deep_learning_wizard

Embedding and Word2Vec

• The Illustrated Word2vec_Jay Alammar_blog

• Word2vec from Scratch with Python and NumPy

• Word2Vec (introduce and tensorflow implementation)_ youtube

• Python implementation of Word2Vec

• A Word2Vec Keras tutorial

Attention

• Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)_ Jay Alammar_blog

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Generative Adversarial Networks(GAN)

CycleGAN

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Deployment of Neural Networks

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PyTorch

TensorFlow

Keras

Truth table

Intro to Truth Tables & Boolean Algebra

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