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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Deep Learning Essentials - Your hands-on guide to the fundamentals of deep learning and neural network modeling (Paperback)
Loot Price: R1,025
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Deep Learning Essentials - Your hands-on guide to the fundamentals of deep learning and neural network modeling (Paperback)
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Get to grips with the essentials of deep learning by leveraging the
power of Python Key Features Your one-stop solution to get started
with the essentials of deep learning and neural network modeling
Train different kinds of neural networks to tackle various problems
in Natural Language Processing, computer vision, speech
recognition, and more Covers popular Python libraries such as
Tensorflow, Keras, and more, along with tips on training, deploying
and optimizing your deep learning models in the best possible
manner Book DescriptionDeep Learning a trending topic in the field
of Artificial Intelligence today and can be considered to be an
advanced form of machine learning, which is quite tricky to master.
This book will help you take your first steps in training efficient
deep learning models and applying them in various practical
scenarios. You will model, train, and deploy different kinds of
neural networks such as Convolutional Neural Network, Recurrent
Neural Network, and will see some of their applications in
real-world domains including computer vision, natural language
processing, speech recognition, and so on. You will build practical
projects such as chatbots, implement reinforcement learning to
build smart games, and develop expert systems for image captioning
and processing. Popular Python library such as TensorFlow is used
in this book to build the models. This book also covers solutions
for different problems you might come across while training models,
such as noisy datasets, small datasets, and more. This book does
not assume any prior knowledge of deep learning. By the end of this
book, you will have a firm understanding of the basics of deep
learning and neural network modeling, along with their practical
applications. What you will learn Get to grips with the core
concepts of deep learning and neural networks Set up deep learning
library such as TensorFlow Fine-tune your deep learning models for
NLP and Computer Vision applications Unify different information
sources, such as images, text, and speech through deep learning
Optimize and fine-tune your deep learning models for better
performance Train a deep reinforcement learning model that plays a
game better than humans Learn how to make your models get the best
out of your GPU or CPU Who this book is forAspiring data scientists
and machine learning experts who have limited or no exposure to
deep learning will find this book to be very useful. If you are
looking for a resource that gets you up and running with the
fundamentals of deep learning and neural networks, this book is for
you. As the models in the book are trained using the popular
Python-based libraries such as Tensorflow and Keras, it would be
useful to have sound programming knowledge of Python.
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