Tensorflow Machine Learning: Simple and Effective Tips and Tricks to Learn Machine Learning With Scikit-learn, Keras and TensorflowКНИГИ » ПРОГРАММИНГ
Название: Tensorflow Machine Learning: Simple and Effective Tips and Tricks to Learn Machine Learning With Scikit-learn, Keras and TF Автор: Benjamin Smith Издательство: Amazon.com Services LLC Год: 2020 Страниц: 124 Язык: английский Формат: pdf, azw3, epub Размер: 10.1 MB
Machine Learning is an emerging field in the discipline of computer science. The possibilities are virtually endless and the things we can achieve with machine learning bridge the gap between reality and science fiction. If you are one of those people who developed an interest and learned the basics of machine learning and want to improve your foundation, then this is the right book for you. Here’s a list of some of the distinct features of this book that set it apart from others:
•This book includes a comprehensive and detailed explanation of the concepts. No chapter has idle talk. Every line in this book has been written while keeping the convenience and interest of the reader in mind. •This book features some really cool tips and tricks that build upon some very basic and fundamental practices of machine learning. Using these tips and tricks will help increase the productivity of your models. •Each topic addresses some of the most important issues that users experience when working with machine learning. For instance, in the later parts of this book, after discussing deep learning, we shift our focus towards the main challenges that arise when creating and implementing a complex and large deep neural network. •This book aims to give readers a productive reading session. In order to accomplish this, each chapter has fragmented sections that highlight interesting topics. Furthermore, the chapter layout guides the reader through the many concepts of machine learning very easily.
If you’re interested in tips and tricks to machine learning with the use of scikit-learn, keras and Tensorflow, then click the Download button to get started today!
Introduction Chapter 1: Introduction to Machine Learning What Is Machine Learning? Examples of Machine Learning Different Types of Machine Learning Supervised and Unsupervised Learning Online and Batch Learning Hindering Factors For Machine Learning Chapter 2: Perform Regression Tasks Using Scikit-Learn Gathering the Data Choosing a Regression Task Choosing the Appropriate Performance Measure Getting Started with the Practical Work Creating a Testing Set Using Random Sampling Preparing the Data Creating, Training and Evaluating the Model Using the Testing Dataset to Evaluate the Model Chapter 3: Creating a Classification Model with Scikit-Learn The MNIST Dataset Training a Binary Classifier Measuring the Performance Chapter 4: Using Keras to Work With Artificial Neural Networks Using the Keras API Using a Sequential API to Create an Image Classifier Creating a Regression MLP Using Sequential API Chapter 5: Addressing the Problems Faced When Training Deep Neural Networks Dealing with the Vanishing and Exploding Gradients Problem Dealing with Problem of Data Shortage When Training Deep Neural Networks Dealing with the Problem of Slow Training Dealing with the Risk of Overfitting of Deep Neural Networks Conclusion References
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Tensorflow Machine Learning: Simple and Effective Tips and Tricks to Learn Machine Learning With Scikit-learn, Keras and Tensorflow 
Название: Tensorflow Machine Learning: Simple and Effective Tips and Tricks to Learn Machine Learning With Scikit-learn, Keras and TF 
