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State-of-the-Art Deep Learning Models in TensorFlow - Modern Machine Learning in the Google Colab Ecosystem (Paperback, 1st ed.)
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State-of-the-Art Deep Learning Models in TensorFlow - Modern Machine Learning in the Google Colab Ecosystem (Paperback, 1st ed.)
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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
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