Tensorflow 2.0 Quick Start Guide

Holdroyd, Tony

  • 出版商: Packt Publishing
  • 出版日期: 2019-03-28
  • 售價: $1,020
  • 貴賓價: 9.5$969
  • 語言: 英文
  • 頁數: 196
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 178953075X
  • ISBN-13: 9781789530759
  • 相關分類: DeepLearningTensorFlow
  • 立即出貨 (庫存=1)

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Learn
  • Use tf.Keras for fast prototyping, building, and training deep learning neural network models
  • Easily convert your TensorFlow 1.12 applications to TensorFlow 2.0-compatible files
  • Use TensorFlow to tackle traditional supervised and unsupervised machine learning applications
  • Understand image recognition techniques using TensorFlow
  • Perform neural style transfer for image hybridization using a neural network
  • Code a recurrent neural network in TensorFlow to perform text-style generation
About

TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks.

After giving you an overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering.

You will get familiar with unsupervised learning for autoencoder applications. The book will also show you how to train effective neural networks using straightforward examples in a variety of different domains.

By the end of the book, you will have been exposed to a large variety of machine learning and neural network TensorFlow techniques.

Features
  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks
  • Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha

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學習


  • 使用 tf.Keras 快速原型、構建和訓練深度學習神經網絡模型

  • 輕鬆將 TensorFlow 1.12 應用程式轉換為 TensorFlow 2.0 兼容文件

  • 使用 TensorFlow 解決傳統的監督和非監督機器學習應用

  • 了解使用 TensorFlow 的圖像識別技術

  • 使用神經網絡進行圖像混合的神經風格轉換

  • 使用 TensorFlow 編寫循環神經網絡進行文本風格生成





關於

TensorFlow 是 Python 中最受歡迎的機器學習框架之一。通過本書,您將提高對一些最新 TensorFlow 功能的了解,並能夠進行監督和非監督機器學習,以及訓練神經網絡。

在簡要介紹 TensorFlow 2.0 Alpha 的新功能後,本書將引導您使用 TensorFlow 库設置機器學習環境。您將使用線性回歸、邏輯回歸和聚類等技術執行常見的監督機器學習任務。

您將熟悉非監督學習的自編碼器應用。本書還將通過各種不同領域的簡單示例,展示如何訓練有效的神經網絡。

通過閱讀本書,您將接觸到各種機器學習和神經網絡 TensorFlow 技術。





特點


  • 使用高級 Keras API 訓練自己的模型,進行有效的預測

  • 進行監督和非監督機器學習,並學習訓練神經網絡等高級技術

  • 熟悉 TensorFlow 2.0 Alpha 中引入的一些新實踐