Deep Learning Beginner to Advanced

Deep Learning Lecture and materials

• CS 20: Tensorflow for Deep Learning Research

• CS224d: Deep Learning for Natural Language Processing

• CS231n: Convolutional Neural Networks for Visual Recognition

• UFDL Tutorial

• 모두를 위한 머신러닝/딥러닝 강의 - 김성훈

• 코딩셰프의 3분 딥러닝, 케라스맛

• 골빈해커의 3분 딥러닝, 텐서플로맛

• 밑바닥부터 시작하는 딥러닝(한빛미디어, 2017)

• NLP를 위한 딥러닝 가이드

• 모두의 연구소 플입스쿨 CS20

• SuaLab Research Blog

Stanford Univ CS20 Tensorflow for Deep Learning Research

• 01_overview tensorflow
• 02_operations
• 03_linear_and_logistic_regression
• 04_earger execution
• 05_variable sharing and managing experiments
• 06_ConvNet in Tensorflow
• 06_ConvNet with Slim
• 06_ResNet
• 06_VGG_Slim
• 06_AlexNet
  • ImageNet Classification with Deep Convolutional Neural Networks, 2012
  • Deep Residual Learning for Image Recognition, 2015
  • Going Deeper with Convolutions, 2015
• 07_Style transfer
  • A Neural Algorithm of Artistic Style, 2015
• 08_Generative Adeversarial Networks
  • Generative Adversarial Nets, 2014
• 09_Auto Encoder
• 09_Variational Auto Encoder
• 10_Recurrent Neural Networks
• 11_Seq2Seq with Attention

Stanford Univ CS224d & CMU CS11 Deep Learning for Natural Language Processing

• 01_Introduction_to_NLP_and_Deep_Learning
• 02_Word_Embedding
  • Word2Vec Tutorial - The Skip-Gram Model
  • Efficient Estimation of Word Representations in Vector Space, 2013
• 03_neural_networks
  • backpropagation
  • Review of differential calculus theory
• 04_recurrent_neural_networks_and_language_models
  • Recurrent Neural Networks Tutorial
• 05_vanishing_gradients_and_fancy_RNNs
  • Understanding LSTM Networks

Stanford Univ CS231n Convolutional Neural Networks for Visual Recognition (comming soon)

• 01_cource_introduction
• 02_image_classification
• 03_loss_function_and_optimization
• 04_introduction_to_neural_networks
• 05_convolutional_neural_networks
• 06_training_neural_networks_part1
• 07_training_neural_networks_part2

Keras Deep learning implementation examples

• source code
• Neural Network
• Convolutaional Neural Network : AlexNet, VGG16, ResNet
• Recurrent Neural Network
• Auto Encoder
• Generative Adversarial Network : GAN, DCGAN
• U-Net
• Advanced applications