Deep Learning - Introduction

Deep learning
Introduction for how to learn machine leaning and deep learning

List of course

What can you learn

  1. an understanding of machine learning, including optimization and stochastic gradient descent
  2. hyperparameter tuning
  3. at least a passing understanding of neural nets
  4. a pretty good grasp of Python
  5. a working knowledge of how to configure different packages
  6. a good understanding of data preparation
  7. keep the basic skill to handle image library MINST using Tensorflow
  8. level up the accuracy by change to CNN on MINST
  9. with RNN to handle stream or sequence data

Preparation

  • A little bit linear algebra
  • Basic concept and experience on Python
  • Install anaconda with numpy pandas matplotlib scipy
  1. You also can find some course from Andrew Ng at Netease cloud class