Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras 1788837991, 9781788837996

Deep Learning with Keras and Tensorflow

2,507 599 3MB Read more

Deep Learning with TensorFlow: Explore neural networks with Python 9781786469786

Deep Learning with TensorFlow

2,913 694 7MB Read more

Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles 1789536081, 9781789536089

1,063 337 21MB Read more

Neural Networks and Deep Learning 9783319944630

1,758 373 25MB Read more

Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras 1788831306, 9781788831307

Table of contents : 1 Machine Learning Fundamentals 2 Deep Learning Essentials 3 Understanding Deep Learning Architectur

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Python Machine Learning. A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learning with Scikit-Learn, TensorFlow, and Keras.

3,396 1,093 1MB Read more

Deep Learning with TensorFlow: Explore neural networks with Python. Code 9781786469786

Code

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Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras 1788998081, 9781788998086

Concepts, tools, and techniques to explore deep learning architectures and methodologies Key Features Explore advanced d

104 102 22MB Read more

Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras. Code 1788998081, 9781788998086

Code . Concepts, tools, and techniques to explore deep learning architectures and methodologies Key Features Explore adv

484 70 348KB Read more

Applied Neural Networks with TensorFlow 2: API Oriented Deep Learning with Python [1st ed.] 9781484265123, 9781484265130

Implement deep learning applications using TensorFlow while learning the “why” through in-depth conceptual explanations.

2,264 563 6MB Read more