I have been atiently reading over half of the book with expecting to learn about machine learning I want to express my disappointment about the way book is written The book tries to go over features of TensorFlow 2 but it never defines or explains what the features do Each and every time it shows a small code snippet that uses a feature but I have to guess the feature is supposed to be doing from the output from the code but I have to guess the feature is supposed to be doing from the output from the code have to guess what the is supposed to be doing from the output from the code an example A La Partera: Story of a Midwife persistent Gradient Tape shows theython syntax of how to use ersistent feature on tape but it doesn t explain what ersistent means or. As art of the best selling Pocket Primer series this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2 It is intended to be a fast aced introduction to various “core” features of TensorFlow with code samples that cover machine learning and TensorFlow basics A comprehensive app.
Read & download TensorFlow 2 Pocket Primer (Computing)Does in the context only shows the source code and output It is the way the entire book is written Good summary and uick reference book Excellent to lern machine learning using TF Also great if your looking to sit the TF exam This book rovides an understanding of some core features of tensorFlow It won t teach machine learning but describes the mechanism of tensor flow the Tensor objects the Datasets the Gradient Tape I found it useful when you already know the machine learning concepts and want a recise understanding of the coding structure of TensorflowThus this book is. Endix contains some Keras based code samples and the underpinnings of MLPs CNNs RNNs and LSTMs The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge Companion files with all of the code samples are available for downloading from code samples are available for downloading from ublisher by. ,
Not as shinny as others on the Keras Tensorflow subject But s a decent foundation to build on Although you could all that documentation online the author did a good job at organizing the knowledge and it will save you time Handy as a useful reference for basic TF operations it is hard to find books exclusively focused on TF as most like to drag in the kitchen sink with them this one books exclusively focused on TF as most like to drag in the kitchen sink with them this one the most art stays true to being TF onlyNot for those just starting out as a single book however but always handy as a reference along with general PythonNumPyPandasSeaborn etc material. Emailing roof of urchase to infomerclearningcom Features Uses Python for code samplesCovers TensorFlow 2 APIs and DatasetsIncludes a comprehensive appendix that covers Keras and advanced topics such as NLPs MLPs RNNs LSTMsFeatures the companion files with all of the source code examples and figures download from the Zheng Guogu publisher.