Book-Deep-Learning-with-Applications-using-Python

This repository consists of all the codes(chapterwise) that are explained in my Book.

To learn Deep Learning from scratch, plz have a copy

Chapter 1 is not the part of the book. Chapters 2-13 can be considered as chapters 1-12

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
Chapter10_RNN and LSTM in visual		Chapter10_RNN and LSTM in visual
Chapter11_Speech to text and vice versa		Chapter11_Speech to text and vice versa
Chapter12_Developing Chatbots		Chapter12_Developing Chatbots
Chapter13_Face Recognition		Chapter13_Face Recognition
Chapter1_Prerequisites of Deep Learning Numpy, Pandas and Scikit-Learn		Chapter1_Prerequisites of Deep Learning Numpy, Pandas and Scikit-Learn
Chapter2_Basics of Tensorflow		Chapter2_Basics of Tensorflow
Chapter3_Understanding and working on Keras		Chapter3_Understanding and working on Keras
Chapter5_Regresson to MLP in Tensorflow		Chapter5_Regresson to MLP in Tensorflow
Chapter6_Regression to MLP in Keras		Chapter6_Regression to MLP in Keras
Chapter8_CNN with Tensorflow		Chapter8_CNN with Tensorflow
Chapter9_CNN with Keras		Chapter9_CNN with Keras
README.md		README.md

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