R Deep Learning Essentials: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet [2nd edition] 9781788992893, 178899289X, 9781788997805, 1788997808

Key Features Harness the ability to build algorithms for unsupervised data using deep learning concepts with R Master th

763 98 10MB

English Pages 354 Year 2018

Table of contents :
Table of ContentsGetting Started with Deep LearningTraining a Prediction ModelDeep Learning FundamentalsTraining Deep Prediction ModelsImage Classification Using Convolutional Neural NetworksTuning and Optimizing ModelsNatural Language Processing Using Deep LearningDeep Learning Models Using TensorFlow in RAnomaly Detection and Recommendation SystemsRunning Deep Learning Models in the CloudThe Next Level in Deep Learning

R Deep Learning Essentials: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet [2nd edition]
9781788992893, 178899289X, 9781788997805, 1788997808

Author / Uploaded
Wiley
Joshua F;Hodnett
Mark

0 0 0
Like this paper and download? You can publish your own PDF file online for free in a few minutes! Sign Up

Recommend Papers

Deep Learning with Keras and Tensorflow

926 104 3MB Read more

Introduction to Deep Learning Using R A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R 9781484227336, 9781484227343, 0031423450, 1484227336, 1484227344

Understand deep learning, the nuances of its different models, and where these models can be applied. The abundance o

382 57 3MB Read more

Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow [1 ed.] 1484253485, 9781484253489

Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows

511 23 12MB Read more

Deep Learning Pipeline: Building A Deep Learning Model With TensorFlow 1484253485, 9781484253489, 9781484253496

Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows

215 75 12MB Read more

Mastering TensorFlow 1.x: advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras 9781788292061, 1788292065

Build, scale, and deploy deep neural network models using the star libraries in Python About This Book Delve into advan

673 91 18MB Read more

Deep Learning with Keras: Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games [1st edition] 9781787128422, 1787128423, 0702182479574, 0973583400249, 0980291545391

Key Features Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games See how

426 33 11MB Read more

Deep learning with PyTorch: a practical approach to building neural network models using PyTorch 9781788624336, 1788624335

Build neural network models in text, vision and advanced analytics using PyTorchKey Features Explore PyTorch—the latest,

594 67 8MB Read more

Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch 1788626079, 9781788626071

Build neural network models in text, vision and advanced analytics using PyTorch Key FeaturesLearn PyTorch for implement

287 119 2MB Read more

TensorFlow Deep Learning Projects 9781788398060, 1788398068

Key Features Projects on implementing high performance deep learning models with Tensorflow Master the techniques to tra

540 113 24MB Read more

Deep Learning with Tensorflow 9781786469786, 1786469782

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of

485 96 7MB Read more