Advanced Deep Learning with Keras: Applying GANs and other new deep learning algorithms to the real world (English Edition)

  • 298 pages
  • Anglais
  • Format Kindle
Advanced Deep Learning with Keras: Applying GANs and other new deep learning algorithms to the real world (English Edition)

ಪ Format Kindle Read @Advanced Deep Learning with Keras: Applying GANs and other new deep learning algorithms to the real world (English Edition) ೋ Kindle By Rowel Atienza ೭ Understanding and coding advanced deep learning algorithms with the most intuitive deep learning library in existenceKey FeaturesA complete and up to date introduction to GANsA complete overview of KerasA dive into advanced deep learning sticking to the essential mathematicsBook DescriptionKeras enables a new generation of deep learning developers to access the full power of TensorFlow on the one hand, while concentrating on building applications on the other Even surprising is the ability to write applications drawing from the power of new algorithms, without actually having to implement all the algorithms, since they are already available.After introducing Keras and familiarizing the reader with Keras via classical deep learning algorithms, Dr Atienza walks the developer through autoencoders first He takes the approach of building on relatively well known approaches and algorithms, before introducing recent developments to working developers He then asks the reader to write and understand an NLP application to prove the practical value of autoencoders written with Keras.The core of the book lies in the coverage of several classes of adversarial networks GANs Dr Atienza focuses on the most recent successes of GANs and teaches developers to implement newer results for themselves, warning them of pitfalls and showing them the advantages of each He focuses in particular on Image generation and synthesis.Finally, the book finishes with an introduction to reinforcement learning, using OpenAI Gym as a framework to simplify experimenting with various policies and algorithms Again, Keras is the unifying layer through which OpenAI Gym is accessed.Overall, Advanced Keras shows the full capabilities of Keras to a developer, while trying to avoid looking at underlying infrastructure provided by TensorFlow, Theano or Microsoft Cognitive Services Dr Atienza is showing how to get new algorithms to work within Keras, without getting the reader tangled in too many implementation details.What you will learnYou will learn Keras thoroughlyTo code image synthesis examples with GANsTo distinguish various types of adversarial networks and implement themTo write a reinforcement learning application with OpenAI gymTo step away from classic deep learning and machine learning and write production ready applications based on recent researchWho This Book Is ForFamiliarity with Python and basic machine learning is necessary for this book and it would be preferable if the reader had understood several basic deep learning algorithms, like CNNs and RNNs.About the AuthorProfessor Rowel Atienza is an associate professor at the University of the Philippines, Diliman, which is traditionally regarded as the leading university of the country He has a PhD from Australian National University His research areas include robotics, vision, graphics, language processing and understanding, and VR AR, and he has written about graphics, virtual reality, and the human robot interface He is also well published in deep learning.This is his first book for the wider developer community.Professor Rowel Atienza is an associate professor at the University of the Philippines, Diliman, which is traditionally regarded as the leading university of the country He has a PhD from Australian National University His research areas include robotics, vision, graphics, language processing and understanding, and VR AR, and he has written about graphics, virtual reality, and the human robot interface He is also well published in deep learning.This is his first book for the wider developer community. Deep Learning Deep Learning is a new area of Machine research, which has been introduced with the objective moving closer to one its original goals Advanced AI Reinforcement in The Complete Guide Mastering Artificial Intelligence using and Neural Networks By Example A hands on guide to implementing advanced machine learning algorithms neural networks Ahmed Menshawy FREE shipping Pro Tensorflow Pro TensorFlow Mathematical Approach Advanced in Python Santanu Pattanayak Wikipedia also known as deep structured or hierarchical part broader family methods based data Definition Investopedia an artificial intelligence function that enables imitate workings human brain for use decision making Why Is Suddenly Changing Your are electrifying computing industry will soon transform corporate America Udacity fastest growing most exciting fields out there, represents true bleeding edge In this course, you Find courses, events, developer training your Solve problems AI, Learning, HPC driving advances changing our world Enroll now build apply ownroatienza Rowel Atienza GitHub roatienza repositories available Follow their code GitHub Rowel Medium Read writing from Medium Associate Professor, University Philippines Diliman PhD Robotics, Australian National Electrical Electronics R de Belen, MI Saludares, Atienza, ANEEME Interactive mesh cutting D snakes automatic skeletal rigging scanned character models Keras PACKT Books Professor associate professor at Philippines, Diliman, traditionally regarded leading university Keras country Responses Responses published by Pana Facebook Facebook Join connect others may know gives people power share Repositories Applying Applying GANs other real qualifying Ubiquitous Computing Lab Ubiquitous Ubiquitous focuses mobile, wearables Internet Things IoT research We work various areas such games, Advanced Deep Learning with Keras: Applying GANs and other new deep learning algorithms to the real world (English Edition)

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