Book Image

Hands-On Neural Networks with TensorFlow 2.0

By : Paolo Galeone
Book Image

Hands-On Neural Networks with TensorFlow 2.0

By: Paolo 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)
Free Chapter
Section 1: Neural Network Fundamentals
Section 2: TensorFlow Fundamentals
Section 3: The Application of Neural Networks


In this chapter, the concepts of transfer learning and fine-tuning were introduced. Training a very deep convolutional neural network from scratch, starting from random weights, requires the correct equipment, which is only found in academia and some big companies. Moreover, it can be a costly process since finding the architecture that achieves state-of-the-art results on a classification task requires multiple models to be designed and trained and for each of them to repeat the training process to search for the hyperparameter configuration that achieves the best results.

For this reason, transfer learning is the recommended practice to follow. It is especially useful when prototyping new solutions since it speeds up the training time and reduces the training costs.

TensorFlow Hub is the online library offered by the TensorFlow ecosystem. It contains an online catalog...