Comprehensive recipes to give you valuable insights on
Transformers, Reinforcement Learning, and more Key Features Deep
Learning solutions from Kaggle Masters and Google Developer Experts
Get to grips with the fundamentals including variables, matrices,
and data sources Learn advanced techniques to make your algorithms
faster and more accurate Book DescriptionThe independent recipes in
Machine Learning Using TensorFlow Cookbook will teach you how to
perform complex data computations and gain valuable insights into
your data. Dive into recipes on training models, model evaluation,
sentiment analysis, regression analysis, artificial neural
networks, and deep learning - each using Google's machine learning
library, TensorFlow. This cookbook covers the fundamentals of the
TensorFlow library, including variables, matrices, and various data
sources. You'll discover real-world implementations of Keras and
TensorFlow and learn how to use estimators to train linear models
and boosted trees, both for classification and regression. Explore
the practical applications of a variety of deep learning
architectures, such as recurrent neural networks and Transformers,
and see how they can be used to solve computer vision and natural
language processing (NLP) problems. With the help of this book, you
will be proficient in using TensorFlow, understand deep learning
from the basics, and be able to implement machine learning
algorithms in real-world scenarios. What you will learn Take
TensorFlow into production Implement and fine-tune Transformer
models for various NLP tasks Apply reinforcement learning
algorithms using the TF-Agents framework Understand linear
regression techniques and use Estimators to train linear models
Execute neural networks and improve predictions on tabular data
Master convolutional neural networks and recurrent neural networks
through practical recipes Who this book is forIf you are a data
scientist or a machine learning engineer, and you want to skip
detailed theoretical explanations in favor of building
production-ready machine learning models using TensorFlow, this
book is for you. Basic familiarity with Python, linear algebra,
statistics, and machine learning is necessary to make the most out
of this book.
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