State-of-the-Art Deep Learning Models in TensorFlow

State-of-the-Art Deep Learning Models in TensorFlow

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Description


Description



Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn to build. This book teaches you state-of-the-art deep learning models in an applied manner with the only requirement being an Internet connection. The Colab ecosystem provides everything else that you need, including Python, TensorFlow 2.x, GPU and TPU support, and Jupyter Notebooks.



The book begins with an example-driven approach to building input pipelines that feed all machine learning models. You will learn how to provision a workspace on the Colab ecosystem to enable construction of effective input pipelines in a step-by-step manner. From there, you will progress into data augmentation techniques and TensorFlow datasets to gain a deeper understanding of how to work with complex datasets. You will find coverage of Tensor Processing Units (TPUs) and transfer learning followed by state-of-the-art deep learning models, including autoencoders, generative adversarial networks, fast style transfer, object detection, and reinforcement learning.



Author Dr. Paper provides all the applied math, programming, and concepts you need to master the content. Examples range from relatively simple to very complex when necessary. Examples are carefully explained, concise, accurate, and complete. Care is taken to walk you through each topic through clear examples written in Python that you can try out and experiment with in the Google Colab ecosystem in the comfort of your own home or office.

What You Will Learn



   Take advantage of the built-in support of the Google Colab ecosystem

   Work with TensorFlow data sets

   Create input pipelines to feed state-of-the-art deep learning models

   Create pipelined state-of-the-art deep learning models with clean and reliable Python code

   Leverage pre-trained deep learning models to solve complex machine learning tasks

   Create a simple environment to teach an intelligent agent to make automated decisions



Who This Book Is For

Readers who want to learn the highly popular TensorFlow deep learning platform, those who wish to master the basics of state-of-the-art deep learning models, and those looking to build competency with a modern cloud service tool such as Google Colab



Book Details



   Language: English

   Published: 2021

   ISBN: 1484273400

   Format: PDF, EPUB

File list
  • State-of-the-Art Deep Learning Models in TensorFlow
  • State-of-the-Art Deep Learning Models in TensorFlow/BookRAR.net.txt 71 B
  • State-of-the-Art Deep Learning Models in TensorFlow/State-of-the-Art Deep Learning Models in TensorFlow.epub 453.1 KB
  • State-of-the-Art Deep Learning Models in TensorFlow/State-of-the-Art Deep Learning Models in TensorFlow.pdf 6.3 MB

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