As part of thebest-selling Pocket Primer series, thisbook is designed to introducebeginners to basic machine learning algorithms using Tensor Flow 2. It isintended to be a fast-paced introduction to various "core" features of Tensor Flow, with code samples that cover machine learning and Tensor Flowbasics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material inthe chapters illustrates how to solve a vari...
As part of thebest-selling Pocket Primer series, thisbook is designed to introducebeginners to basic machine learning algorithms using Tensor Flow 2. It isintended to be a fast-paced introduction to various "core" features of Tensor Flow, with code samples that cover machine learning and Tensor Flowbasics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material inthe chapters illustrates how to solve a variety of tasks after which you can dofurther reading to deepen your knowledge. Companion files with all of the codesamples are available for downloading from the publisher by emailing proof of purchase to info@merclearning.com.Features:Uses Python for codesamples Covers Tensor Flow 2 APIsand Datasets Includes a comprehensiveappendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs Features the companion files with all of thesource code examples and figures (download fromthe publisher)
