TY  - BOOK
AU  -     Gulli, Antonio & Pal, Sujit
TI  - Deep learning with Keras : : Implementing deep learning models and neural networks with the power of Python
SN  - 9781787128422
U1  - 005.133 
PY  - 2017///
CY  - Birmingham-Mumbai
PB  - Packt
KW  -  	      Big Data and Business Intelligence     Python (Computer program language)     Neural networks (Computer science)
N1  -  	Neural networks foundations --
Keras installation and API --
Deep learning with ConvNets --
Generative adversarial networks and wavenet --
World embeddings --
Recurrent neural networks - RNN --
Additional deep learning models --
AI game playing --
Conclusion
N2  -  	
This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided. Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GAN). You will also explore non-traditional uses of neural networks as Style Transfer. Finally, you will look at Reinforcement Learning and its application to AI game playing, another popular direction of research and application of neural networks.
ER  -