TensorFlow is the industry-standard library for Deep Learning, and thereby, it is covered extensively with both versions, 1.x and 2.x. As neural networks are the heart of Deep Learning, the book ...

Keras ships with support for three back-end deep learning frameworks: TensorFlow, CNTK, and Theano. Amazon is currently working on developing a MXNet back-end for Keras.

Since I reviewed TensorFlow r0.10 in October 2016, Google’s open source framework for deep learning has become more mature, implemented more algorithms and deployment options, and become easier ...

The AWS CloudFormation Deep Learning template uses the Amazon Deep Learning AMI (which provides MXNet, TensorFlow, Caffe, Theano, Torch, and CNTK frameworks) to launch a cluster of EC2 instances and ...

TensorFlow can support the use of deep learning for various voice search applications. It is currently quite popular amongst manufacturers of smartphones and telecom giants.

This comprehensive bootcamp teaches students how to effectively use Python for Deep Learning, with a focus on Alphabet Inc (NASDAQ:GOOG)’s latest Tensorflow 2 library and Keras API.

Google developed TensorFlow, which was made open source in 2015. It evolved from Google’s in-house machine learning software, which was refactored and optimized for production use. The term ...

Deep Reinforcement Learning is the combination of Reinforcement Learning algorithms with Deep neural network, which had recent success in learning complicated unknown environments. The trained model ...

In this study, we used Tensorflow, one of the most popular deep learning libraries to classify MNIST dataset, which is frequently used in data analysis studies. Using Tensorflow, which is an open ...