Deep Learning With R

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Deep Learning With RISBN13:9789811358494ISBN10:9811358494Author:Ghatak, Abhijit (Author)Description:Deep Learning With R Introduces Deep Learning And Neural Networks Using The R Programming Language The Book Builds On The Understanding Of The Theoretical And Mathematical Constructs And Enables The Reader To Create Applications On Computer Vision, Natural Language Processing And Transfer Learning The Book Starts With An Introduction To Machine Learning And Moves On To Describe The Basic Architecture, Different Activation Functions, Forward Propagation, Cross-Entropy Loss And Backward Propagation Of A Simple Neural Network It Goes On To Create Different Code Segments To Construct Deep Neural Networks It Discusses In Detail The Initialization Of Network Parameters, Optimization Techniques, And Some Of The Common Issues Surrounding Neural Networks Such As Dealing With Nans And The Vanishingexploding Gradient Problem Advanced Variants Of Multilayered Perceptrons Namely, Convolutional Neural Networks And Sequence Models Are Explained, Followed By Application To Different Use Cases The Book Makes Extensive Use Of The Keras And Tensorflow Frameworks Binding:Hardcover, HardcoverPublisher:SPRINGER NATUREPublication Date:2019-04-26Weight:1.23 lbsDimensions:0.63'' H x 9.21'' L x 6.14'' WNumber of Pages:245Language:English

Price: 104.55 USD

Location: USA

End Time: 2024-09-28T10:16:16.000Z

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