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Using Keras as an open-source deep learning library, the book features hands-on projects that show you how to create more effective AI with the most up-to-date ...

Companion Jupyter notebooks for the book "Deep Learning with Python". This repository contains Jupyter notebooks implementing the code samples found in the ...

06.02.2017 · Deep Q-Learning with Keras and Gym. Feb 6, 2017. This blog post will demonstrate how deep reinforcement learning (deep Q-learning) can be implemented and applied to play a CartPole game using Keras and Gym, in less than 100 lines of code! I’ll explain everything without requiring any prerequisite knowledge about reinforcement learning.

Introduction to Deep Neural Networks with Keras and Tensorflow - GitHub - leriomaggio/deep-learning-keras-tensorflow: Introduction to Deep Neural Networks ...

The Deep Learning with Keras Workshop outlines a simple and straightforward way for you to understand deep learning with Keras. Starting with basic concepts ...

GitHub - SanjyotZade/deep-learning-with-keras: This repository contains all the deep learning use cases mentioned in the book "Deep learning with python by ...

Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast ...

17.08.2021 · Elephas: Distributed Deep Learning with Keras & Spark. Elephas is an extension of Keras, which allows you to run distributed deep learning models at scale with Spark. Elephas currently supports a number of applications, including: Data-parallel training of deep learning models. Distributed training of ensemble models.

GitHub - yashica95/ai-and-deep-learning-tensorflow-keras. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. main. Switch branches/tags. Branches.

13.04.2018 · Learning deep learning with KERAS. Contribute to kyuhyong/deep_learning_keras development by creating an account on GitHub.

Apr 28, 2021 · In this repository, files to re-create virtual env with conda are provided for Linux and OSX systems, namely deep-learning.yml and deep-learning-osx.yml, respectively. To re-create the virtual environments (on Linux, for example):

Oct 10, 2021 · GitHub - codebasics/deep-learning-keras-tf-tutorial: Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

Introduction to deep learning w/ keras. Contribute to ryanorsinger/intro-to-deep-learning-with-keras development by creating an account on GitHub.

About The Book

A collection of my implementations of examples in Deep Learning with Tensorflow2 and Keras - GitHub - spowers42/tf2_book_exercises: A collection of my implementations of examples in Deep Learning with Tensorflow2 and Keras

Contribute to borisgarbuzov/Deep-Learning-with-Keras development by creating an account on GitHub.

14.11.2020 · Easy-deep-learning-with-Keras Updates Nov 14, 2020. The source code is updated and can be run on TF2.0 & Google Colaboratory. Please …

Keras tutorial for beginners (using TF backend). Contribute to buomsoo-kim/Easy-deep-learning-with-Keras development by creating an account on GitHub.

Deep Learning with TensorFlow 2 and Keras, published by Packt - GitHub - PacktPublishing/Deep-Learning-with-TensorFlow-2-and-Keras: Deep Learning with ...

Keras: Deep Learning for humans. This repository hosts the development of the Keras library. Read the documentation at keras.io.. About Keras. Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow.It was developed with a focus on enabling fast experimentation.

Jan 14, 2021 · Deep Learning with Keras. This is the code repository for Deep Learning with Keras, published by Packt.It contains all the supporting project files necessary to work through the book from start to finish.

This is the code repository for Deep Learning with Keras, published by Packt. It contains all the supporting project files necessary to work through the book ...

Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow . It was developed with a focus on enabling fast experimentation. Being able to go from idea to result as fast as possible is key to doing good research. Keras is: Simple -- but not simplistic.