As part of thebest-selling Pocket Primer series, thisbook is designed
to introducebeginners to basic machine learning algorithms using
TensorFlow 2. It isintended to be a fast-paced introduction to various
"core" features ofTensorFlow, with code samples that cover machine
learning and TensorFlowbasics. A comprehensive appendix contains
someKeras-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 TensorFlow 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)