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Hands-On Neural Networks with TensorFlow 2.0

Hands-On Neural Networks with TensorFlow 2.0

By : Galeone
3.7 (7)
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Hands-On Neural Networks with TensorFlow 2.0

Hands-On Neural Networks with TensorFlow 2.0

3.7 (7)
By: Galeone

Overview of this book

TensorFlow, the most popular and widely used machine learning framework, has made it possible for almost anyone to develop machine learning solutions with ease. With TensorFlow (TF) 2.0, you'll explore a revamped framework structure, offering a wide variety of new features aimed at improving productivity and ease of use for developers. This book covers machine learning with a focus on developing neural network-based solutions. You'll start by getting familiar with the concepts and techniques required to build solutions to deep learning problems. As you advance, you’ll learn how to create classifiers, build object detection and semantic segmentation networks, train generative models, and speed up the development process using TF 2.0 tools such as TensorFlow Datasets and TensorFlow Hub. By the end of this TensorFlow book, you'll be ready to solve any machine learning problem by developing solutions using TF 2.0 and putting them into production.
Table of Contents (15 chapters)
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1
Section 1: Neural Network Fundamentals
4
Section 2: TensorFlow Fundamentals
8
Section 3: The Application of Neural Networks

What is Machine Learning?

Machine learning (ML) is an artificial intelligence branch where we define algorithms, with the aim of learning about a model that describes and extracts meaningful information from data.

Exciting applications of ML can be found in fields such as predictive maintenance in industrial environments, image analysis for medical applications, time series forecasting for finance and many other sectors, face detection and identification for security purposes, autonomous driving, text comprehension, speech recognition, recommendation systems, and many other applications of ML are countless, and we probably use them daily without even knowing it!

Just think about the camera application on your smartphone— when you open the app and you point the camera toward a person, you see a square around the person's face. How is this possible? For a computer, an...

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