This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion. In addition, this book contains appendices for Keras, Tensor Flow 2, and Pandas.Features: Covers an introduction to programming concepts related to AI, machine learning, and deep learning Includes material on Keras, Tensor Flow2 and Pandas
Cumpărați această carte electronică și primiți încă 1 GRATUIT!
Limba Engleză ● Format EPUB ● Pagini 300 ● ISBN 9781683924661 ● Editura Mercury Learning & Information ● Publicat 2020 ● Descărcabil 3 ori ● Valută EUR ● ID 8179195 ● Protecție împotriva copiilor Adobe DRM
Necesită un cititor de ebook capabil de DRM