Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. This practical book shows…
Specifikacia Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow-author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.
With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse Scikit-Learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural nets You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks.