Learning TensorFlow : a guide to building deep learning systems /
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks fo...
Call Number: | Libro Electrónico |
---|---|
Main Authors: | Hope, Tom (Data scientist) (Author), Resheff, Yehezkel S. (Author), Lieder, Itay (Author) |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Sebastopol, CA :
O'Reilly Media,
2017.
|
Edition: | First edition. |
Subjects: | |
Online Access: | Texto completo (Requiere registro previo con correo institucional) |
Similar Items
-
Einführung in TensorFlow : Deep-Learning-Systeme programmieren, trainieren, skalieren und deployen /
by: Hope, Tom (Data scientist), et al.
Published: (2018) -
TensorFlow 2.0 pocket primer /
by: Campesato, Oswald
Published: (2020) -
Sentiment analysis with LSTMs and mitigating class imbalance in TensorFlow.
Published: (2021) -
Pro deep learning with TensorFlow 2.0 : a mathematical approach to advanced artificial intelligence in Python /
by: Pattanayak, Santanu
Published: (2023) -
Hello, TensorFlow! : building and training your first TensorFlow graph from the ground up /
by: Schumacher, Aaron
Published: (2016)