0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R1,000 - R2,500 (1)
  • -
Status
Brand

Showing 1 - 1 of 1 matches in All Departments

Hands-On Deep Learning with Go - A practical guide to building and implementing neural network models using Go (Paperback):... Hands-On Deep Learning with Go - A practical guide to building and implementing neural network models using Go (Paperback)
Gareth Seneque, Darrell Chua
R1,254 Discovery Miles 12 540 Ships in 10 - 15 working days

Apply modern deep learning techniques to build and train deep neural networks using Gorgonia Key Features Gain a practical understanding of deep learning using Golang Build complex neural network models using Go libraries and Gorgonia Take your deep learning model from design to deployment with this handy guide Book DescriptionGo is an open source programming language designed by Google for handling large-scale projects efficiently. The Go ecosystem comprises some really powerful deep learning tools such as DQN and CUDA. With this book, you'll be able to use these tools to train and deploy scalable deep learning models from scratch. This deep learning book begins by introducing you to a variety of tools and libraries available in Go. It then takes you through building neural networks, including activation functions and the learning algorithms that make neural networks tick. In addition to this, you'll learn how to build advanced architectures such as autoencoders, restricted Boltzmann machines (RBMs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more. You'll also understand how you can scale model deployments on the AWS cloud infrastructure for training and inference. By the end of this book, you'll have mastered the art of building, training, and deploying deep learning models in Go to solve real-world problems. What you will learn Explore the Go ecosystem of libraries and communities for deep learning Get to grips with Neural Networks, their history, and how they work Design and implement Deep Neural Networks in Go Get a strong foundation of concepts such as Backpropagation and Momentum Build Variational Autoencoders and Restricted Boltzmann Machines using Go Build models with CUDA and benchmark CPU and GPU models Who this book is forThis book is for data scientists, machine learning engineers, and AI developers who want to build state-of-the-art deep learning models using Go. Familiarity with basic machine learning concepts and Go programming is required to get the best out of this book.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Conforming Bandage
R3 Discovery Miles 30
Marco Mini Selfie Stick (Black)
R49 R39 Discovery Miles 390
Frozen - Blu-Ray + DVD
Blu-ray disc R330 Discovery Miles 3 300
Fine Living Focus Office Desk Chair…
R1,199 R1,129 Discovery Miles 11 290
Calypso Christiane Celle Calypso Rose…
R1,524 R742 Discovery Miles 7 420
Operation Joktan
Amir Tsarfati, Steve Yohn Paperback  (1)
R250 R211 Discovery Miles 2 110
100 Mandela Moments
Kate Sidley Paperback R250 R205 Discovery Miles 2 050
Linx La Work Desk (Walnut)
R4,499 Discovery Miles 44 990
Dropout Boogie
Black Keys CD R380 Discovery Miles 3 800
ZA Key Ring Pendant with Sound and Light
R199 Discovery Miles 1 990

 

Partners