𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

✍ Scribed by Rowel Atienza


Publisher
Packt Publishing
Year
2018
Tongue
English
Leaves
369
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Python Deep Learning: Exploring deep lea
✍ Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca πŸ“‚ Library πŸ“… 2019 πŸ› Packt Publishing 🌐 English

Exploring an advanced state of the art deep learning models and its applications using Popular python libraries like Keras, Tensorflow, and Pytorch Key Features β€’ A strong foundation on neural networks and deep learning with Python libraries. β€’ Explore advanced deep learning techniques and thei

Deep Learning With Keras: Beginner’s Gui
✍ Frank Millstein πŸ“‚ Library πŸ“… 2018 πŸ› CreateSpace Independent Publishing Platform 🌐 English

<h1><strong>Deep Learning with Keras</strong></h1> <p>This book will introduce you to various supervised and unsupervised deep learning algorithms like the multilayer perceptron, linear regression and other more advanced deep convolutional and recurrent neural networks. You will also learn about ima

Deep Learning with Keras: Implement vari
✍ Gulli, Antonio;Pal, Sujit πŸ“‚ Library πŸ“… 2017 πŸ› Packt Publishing 🌐 English

Get to grips with the basics of Keras to implement fast and efficient deep-learning models About This Book Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games See how various deep-learning models and practical use-cases can be implemented using Keras A

Deep Learning with Keras: Implement vari
✍ Gulli, Antonio;Pal, Sujit πŸ“‚ Library πŸ“… 2017;2018 πŸ› Packt Publishing 🌐 English

Get to grips with the basics of Keras to implement fast and efficient deep-learning models About This Book Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games See how various deep-learning models and practical use-cases can be implemented using Keras A