~Get Your Files Here !

  01 - Course Introduction

   001 What can you expect from this course_en.srt

   002 Who are you and what do you need_en.srt

  02 - Neural Network Introduction

   001 What is a neural network_en.srt

  03 - Linear Regression

   001 Linear Regression_en.srt

   002 Cost functions_en.srt

   003 Bias_en.srt

  04 - Real Data

   001 Real Data_en.srt

   002 Second Input_en.srt

   003 Normalise Data_en.srt

  05 - Classification

   001 Gradient Descent_en.srt

   002 Classification Introduction_en.srt

   003 Activation_en.srt

  06 - Multiclass Classification

   001 Softmax_en.srt

   002 Non Linear Data_en.srt

  07 - Hidden Layers, Random Weights

   001 Adding Hidden Layers_en.srt

   002 Recap_en.srt

   003 Random Weights_en.srt

  08 - Handwritten Digits Recognition

   001 Mini Batch Gradient Descent_en.srt

   003 Conclusion.mp4

   external-assets-links.txt