_NAME_: | The Deep Learning with Keras Workshop, 2nd Edition (packtpub - 2020) [AhLaN] |
Description: --------------------------------------------------------------------------------- ----------------------------------------------------------------------------------- Proudly Presents ----------------------------------------------------------------------------------- The Deep Learning with Keras Workshop, 2nd Edition (packtpub - 2020) [AhLaN] SUPPLiER.......: WWW RELEASE DATE......: 16/07/20 Uploader........: abidmail Collector................: abidmail ... RELEASE iNFORMATiON ... GENERAL INFO Author : Mahla Abdolahnejad, Matthew Moocarme, Ritesh Bhagwat Length : 446 pages Edition : 1 Language : English Publisher : Packt Publishing Publication Date : 2020-02-28 ISBN-10 : 183921757X ISBN-13 : 9781839217579 BOOK DESCRIPTION Cut through the noise and get real results with a step-by-step approach to understanding deep learning with Keras programming Key Features Ideal for those getting started with Keras for the first time A step-by-step Keras tutorial with exercises and activities that help build key skills Structured to let you progress at your own pace, on your own terms Use your physical print copy to redeem free access to the online interactive edition Book Description You already know that you want to learn Keras, and a smarter way to learn is to learn by doing. The Deep Learning with Keras Workshop focuses on building up your practical skills so that you can develop artificial intelligence applications or build machine learning models with Keras. You’ll learn from real examples that lead to real results. Throughout The Deep Learning with Keras Workshop, you’ll take an engaging step-by-step approach to understand Keras. You won’t have to sit through any unnecessary theory. If you’re short on time you can jump into a single exercise each day or spend an entire weekend tinkering with your own neural networks. It’s your choice. Learning on your terms, you’ll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Deep Learning with Keras Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you’ll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You’ll even earn a secure credential that you can share and verify online upon completion. It’s a premium learning experience that’s included with your printed copy. To redeem, follow the instructions located at the start of your book. Fast-paced and direct, The Deep Learning with Keras Workshop is the ideal companion for those who are just getting started with Keras. You’ll build and iterate on your code like a software developer, learning along the way. This process means that you’ll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. What you will learn Gain insight into the fundamental concepts of neural networks Learn to think like a data scientist and understand the difference between machine learning and deep learning Discover various techniques to evaluate, tweak, and improve your models Explore different techniques to manipulate your data Explore alternative techniques to verify the accuracy of your model Who this book is for Our goal at Packt is to help you be successful, in whatever it is that you choose to do. The Deep Learning with Keras Workshop is an ideal tutorial for the programmer who is getting started with Keras and deep learning. Pick up a Workshop today and let Packt help you develop skills that stick with you for life. Table of Contents Introduction to Machine Learning with Keras Machine Learning versus Deep Learning Deep Learning with Keras Evaluating your Model with Cross-Validation Using Keras Wrappers Improving Model Accuracy Model Evaluation Computer Vision with Convolutional Neural Networks Transfer Learning and Pre-Trained Models Sequential Modeling with Recurrent Neural Networks | |
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Catégorie: | Books |
Langue : | English |
Taille totale: | 30.62 MB |
Info Hash: | A5B9AFF34B9B5801C862EE64B73AD6554F0CC8FE |
Ajouté par: | abidmail |
Date: | 2020-07-16 17:10:35 |
Statut Torrent: | Torrent Verified by Prom3th3uS on 17th July, 2020 |
évaluations: | Not Yet Rated (Log in to rate it) |
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