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TensorFlow: Deep Learning and Artificial Intelligence (Machine Learning)
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TensorFlow: Deep Learning and Artificial Intelligence (Machine Learning)Название: TensorFlow: Deep Learning and Artificial Intelligence
Автор: Hasanraza Ansari
Издательство: Independently published
Год: 2020
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

TensorFlow is an open source Machine Learning framework for all developers. It is used for implementing Machine Learning and Deep Learning applications. To develop and research on fascinating ideas on artificial intelligence, Google team created TensorFlow. TensorFlow is designed in Python programming language, hence it is considered an easy to understand framework.

Tensorflow is Google's library for deep learning and artificial intelligence.

Deep Learning has been responsible for some amazing achievements recently, such as:

Generating beautiful, photo-realistic images of people and things that never existed (GANs)

Beating world champions in the strategy game Go, and complex video games like CS:GO and Dota 2 (Deep Reinforcement Learning)

Self-driving cars (Computer Vision)

Speech recognition (e.g. Siri) and machine translation (Natural Language Processing)

Even creating videos of people doing and saying things they never did (DeepFakes - a potentially nefarious application of deep learning)

Tensorflow is the world's most popular library for deep learning, and it's built by Google, whose parent Alphabet recently became the most cash-rich company in the world (just a few days before I wrote this). It is the library of choice for many companies doing AI and machine learning.

In other words, if you want to do deep learning, you gotta know Tensorflow.

This course is designed for students who want to learn fast, but there are also "in-depth" sections in case you want to dig a little deeper into the theory (like what is a loss function, and what are the different types of gradient descent approaches

This book has been prepared for python developers who focus on research and development with various machine learning and deep learning algorithms. The aim of this book is to describe all TensorFlow objects and methods.

Before proceeding with this book, you need to have a basic knowledge of any Python programming language. Knowledge of artificial intelligence concepts will be a plus point.

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