Название: Python for TensorFlow Pocket Primer Автор: Oswald Campesato Издательство: Mercury Learning & Information Год: 2019 Формат: PDF Страниц: 235 Размер: 10 Mb Язык: English
As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well). A TensorFlow Dataset refers to the classes in the tf.data.Dataset namespace that enables programmers to construct a pipeline of data by means of method chaining so-called lazy operators, e.g., map(), filter(), batch(), and so forth, based on data from one or more data sources.
Features:
- A practical introduction to Python, NumPy, Pandas, Matplotlib, and introductory aspects of TensorFlow 1.x - Contains relevant NumPy/Pandas code samples that are typical in machine learning topics, and also useful TensorFlow 1.x code samples for deep learning/TensorFlow topics - Includes many examples of TensorFlow Dataset APIs with lazy operators, e.g., map(), filter(), batch(), take() and also method chaining such operators - Assumes the reader has very limited experience - Companion files with all of the source code examples (download from the publisher)
TensorFlow Pocket Primer Название: TensorFlow Pocket Primer Автор: Oswald Campesato Издательство: Mercury Learning and Information Год: 2019 Страниц: 169 Язык:...
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Python for TensorFlow Pocket Primer 
