Book Name: TensorFlow 1.x Deep Learning Cookbook
Author: Antonio Gulli, Amita Kapoor
Publisher: Packt Publishing
File size: 26 MB
File format: PDF
TensorFlow 1.x Deep Learning Cookbook Pdf Book Description:
Even the AI, ML community is full of excitement on buzz phrase”deep networks”. Director of DARPA’s Information Innovation Office, John Launchbury calls for the achievement of DNNs since the next wave of AI. Within this publication you will learn using Tensorflow, Google’s frame for profound learning, for implementing distinct profound learning networks such as Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and Deep Q-learning Networks (DQN).
You may know how to execute different profound neural architectures in Tensorflow. You are going to learn the operation of distinct DNNs on some broadly used data collections like MNIST, CIFAR-10, Youtube8m etc.. You will learn how to utilize Keras as backend. We won’t simply learn about the unique embedded and mobile platforms backed by Tensorflow but also the best way to set up cloud platforms for profound learning software. This exciting recipe established manual will take you in the domain of concept of DNNs to almost executing them for solving the actual life AI-driven issues.
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