Hands-On Transfer Learning with Python- Implement advanced deep learning and neural network models using TensorFlow and Keras

[ FreeCourseWeb.com ] Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

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English | (August 31, 2018) | ISBN: 1788831306 | 438 pages | EPUB | 46.15 MB
Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem

Key Features
Build deep learning models with transfer learning principles in Python
implement transfer learning to solve real-world research problems
Perform complex operations such as image captioning neural style transfer
Book Description
Transfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems.

The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples.

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