Apress Source Code

This repository accompanies Deep Learning with Applications Using Python by Navin Kumar Manaswi (Apress, 2018).

Download the files as a zip using the green button, or clone the repository to your machine using Git.

Releases

Release v1.0 corresponds to the code in the published book, without corrections or updates.

See the file Contributing.md for more information on how you can contribute to this repository.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
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
.gitattributes		.gitattributes
9781484235157.jpg		9781484235157.jpg
Contributing.md		Contributing.md
LICENSE.txt		LICENSE.txt
README.md		README.md
errata.md		errata.md