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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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TensorFlow Deep Learning Projects - 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning (Paperback)
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TensorFlow Deep Learning Projects - 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning (Paperback)
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Leverage the power of Tensorflow to design deep learning systems
for a variety of real-world scenarios Key Features Build efficient
deep learning pipelines using the popular Tensorflow framework
Train neural networks such as ConvNets, generative models, and
LSTMs Includes projects related to Computer Vision, stock
prediction, chatbots and more Book DescriptionTensorFlow is one of
the most popular frameworks used for machine learning and, more
recently, deep learning. It provides a fast and efficient framework
for training different kinds of deep learning models, with very
high accuracy. This book is your guide to master deep learning with
TensorFlow with the help of 10 real-world projects. TensorFlow Deep
Learning Projects starts with setting up the right TensorFlow
environment for deep learning. Learn to train different types of
deep learning models using TensorFlow, including Convolutional
Neural Networks, Recurrent Neural Networks, LSTMs, and Generative
Adversarial Networks. While doing so, you will build end-to-end
deep learning solutions to tackle different real-world problems in
image processing, recommendation systems, stock prediction, and
building chatbots, to name a few. You will also develop systems
that perform machine translation, and use reinforcement learning
techniques to play games. By the end of this book, you will have
mastered all the concepts of deep learning and their implementation
with TensorFlow, and will be able to build and train your own deep
learning models with TensorFlow confidently. What you will learn
Set up the TensorFlow environment for deep learning Construct your
own ConvNets for effective image processing Use LSTMs for image
caption generation Forecast stock prediction accurately with an
LSTM architecture Learn what semantic matching is by detecting
duplicate Quora questions Set up an AWS instance with TensorFlow to
train GANs Train and set up a chatbot to understand and interpret
human input Build an AI capable of playing a video game by itself
-and win it! Who this book is forThis book is for data scientists,
machine learning developers as well as deep learning practitioners,
who want to build interesting deep learning projects that leverage
the power of Tensorflow. Some understanding of machine learning and
deep learning, and familiarity with the TensorFlow framework is all
you need to get started with this book.
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