deep learning short notes pdf


About Book

This book covers the basic topics of deep learning with practical examples. so if you want to learn machine learning and deep learning then this hand made short notes are for you. 



Book contents

  • Deep learning intro
  • Supervised learning
  • Logistic regression
  • Neural nets
  • Shallow neural nets
  • Deep neural nets
  • Setting up ML APP
  • Regularizations
  • Optimizing training
  • Optimization algorithms
  • Hyperparameter tuning
  • Structuring the ML projects
  • Error analysis
  • Mismatch
  • Extended learning
  • Convolution fundamentals
  • Classic convolution networks
  • Special Networks
  • Practical advice
  • Detection algorithms
  • face recognition
  • Neural style transfer
  • Recurrent neural networks
  • RNN
  • Natural language processing
  • word embeddings
  • Sequence to sequence