R Deep Learning Essentials
Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
Build models relating to neural
Handbook of Mathematical Formulas and Integrals, Fourth Edition This book contains a collection of general mathematical results, formulas, and integrals that occur throughout applications of mathematics. Many of the entries are based on the updated fifth edition of Gradshteyn and Ryzhik’s ”Tables of Integrals, Series, and Products,” though during the preparation of the book, results were also... Deploying and Troubleshooting Cisco Wireless LAN Controllers
This is the only complete, all-in-one guide to deploying, running, and troubleshooting wireless networks with Cisco® Wireless LAN Controllers (WLCs) and Lightweight Access Point Protocol (LWAPP)/Control and Provisioning of Wireless Access Points (CAPWAP). Authored by two of the most experienced Cisco wireless support...
Angular Test-Driven Development - Second Edition
Enhance your testing skills to build powerful and fault-free applications in Angular v4
About This Book
Improve your Karma and Protractor expertise by setting up an Angular test suite
A wide range of testing techniques for...
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