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文件名称:TensorFlow 1.x Deep Learning Cookbook-PacktPublishing(2017).pdf
文件大小:21.98MB
文件格式:ZIP
更新时间:2021-02-19 14:25:01
TensorFlow Deep Learning
In this book, you will learn how to efficiently use TensorFlow, Google's open
source framework for deep learning. You will implement different deep learning
networks such as Convolutional Neural Networks (CNNs), Recurrent Neural
Networks (RNNs), Deep Q-learning Networks (DQNs), and Generative
Adversarial Networks (GANs) with easy to follow independent recipes. You
will learn how to make Keras as backend with TensorFlow.
You will understand how to implement different deep neural architectures to
carry out complex tasks at work. You will learn the performance of different
DNNs on some popularly used data sets such as MNIST, CIFAR-10,
Youtube8m, and more. You will not only learn about the different mobile and
embedded platforms supported by TensorFlow but also how to set up cloud
platforms for deep learning applications. Get a sneak peek of TPU architecture
and how they will affect DNN future.
By the end of this book, you will be an expert in implementing deep learning
techniques in growing real-world applications and research areas such as
reinforcement learning, GANs, autoencoders and more.
【文件预览】:
TensorFlow 1.x Deep Learning Cookbook-PacktPublishing(2017).pdf
网友评论
- 非常好的资料
- 代码是如下形式,完全没法看,不值得下载! “xmlns="http://www.w3.org/1999/xhtml" class="koboSpan" id="kobo.8.1">parameter_servers = ["pc-01:2222"]</span><br/> <span class="koboSpan" id="kobo.9.1">workers = [ "pc-02:2222",</span