Deep Learning for humans
Docker image: Keras in Docker for reproducible deep learning on CPU or GPU
Deep Reinforcement Learning for Keras.
Docker image: Deep learning environment with *Keras* and *Jupyter* using CPU or GPU
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
A docker container that starts with fully featured Autonomio augmented intelligence workbench with Keras/Tensorflow deep learning backend.
A project template to simplify building and training deep learning models using Keras.
A data transformation package for deep learning with Autonomio, Keras and TensorFlow.
Keras Deep Learning Cookbook, published by Packt
Code repository for Deep Learning with Keras published by Packt
Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras. The overall book comprises three sections with two chapters in each section. The first section prepares you with all the necessary basics to get started in deep learning. Chapter 1 introduces you to the world of deep learning and its difference from machine learning, the choices of frameworks for deep learning, and the Keras ecosystem. You will cover a real-life business problem that can be solved by supervised learning algorithms with deep neural networks. You’ll tackle one use case for regression and another for classification leveraging popular Kaggle datasets. Later, you will see an interesting and challenging part of deep learning: hyperparameter tuning; helping you further improve your models when building robust deep learning applications. Finally, you’ll further hone your skills in deep learning and cover areas of active development and research in deep learning. At the end of Learn Keras for Deep Neural Networks, you will have a thorough understanding of deep learning principles and have practical hands-on experience in developing enterprise-grade deep learning solutions in Keras.
Introduction to Deep Neural Networks with Keras and Tensorflow
An analysis tool for visualisation of feature maps learned by deep learning network
Got any useful tips about autonomio/kerasplotlib?
... I send out a list of most interesting libraries and apps in the "Deep Learning" section to about 1100 subscribers.
Do you want it too?