Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.

Bestandsnummer des Verk�ufers GWSVV.1492041947.G

Verk�ufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel: Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
Verlag: O'Reilly Media
Ver�ffentlichungsdatum: 2019
Sprache: Englisch
ISBN-10: 1492041947
ISBN-13: 9781492041948
Bindung: Softcover
Zustand: good

�ber diesen Titel

Inhaltsangabe

Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders, generative adversarial networks (GANs), encoder-decoder models, and world models.

Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative.

Discover how variational autoencoders can change facial expressions in photos
Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation
Create recurrent generative models for text generation and learn how to improve the models using attention
Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting
Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

�ber die Autorin bzw. den Autor

David Foster is the co-founder of Applied Data Science, a data science consultancy delivering bespoke solutions for clients. He holds an MA in Mathematics from Trinity College, Cambridge, UK and an MSc in Operational Research from the University of Warwick. David has won several international machine learning competitions, including the Innocentive Predicting Product Purchase challenge and was awarded first prize for a visualisation that enables a pharmaceutical company in the US to optimize site selection for clinical trials. He is an active participant in the online data science community and has authored several successful blog posts on deep reinforcement learning including `How To Build Your Own AlphaZero AI'.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Anbieterinformationen

Goodwill of Silicon Valley?s mission is to support our employees, our customers, and people with challenging barriers to employment; to raise their standard of living and improve their lives through our services and social enterprise. Founded in Santa Clara County in 1928, Goodwill of Silicon Valley is dedicated to improving employment opportunities, increasing standards of living, providing economic independence, and restoring our clients? sense of self-worth. We do this through workforce creation, vocational training, and environmental stewardship. With 18 retail stores, an online store, an extensive reuse/recycling operation, and our Contract Services division, we help people overcome barriers to employment, build sustainable livelihoods, and transform their lives and communities.

Zur Homepage des Verk�ufers

Unternehmensdaten des Verk�ufers

Goodwill of Silicon Valley
1080 North 7th Street, San Jose, CA, 95112, U.S.A.

Gesch�ftsbedingungen und Versandinformationen

Verkaufsbedingungen

We guarantee the condition of every book as it's described on the Abebooks website. If you're dissatisfied with your purchase (Incorrect Book/Not as Described/Damaged) or if the order hasn't arrived, you're eligible for a refund within 30 days of the estimated delivery date. If you've changed your mind about a book that you've ordered, please use the [Ask bookseller a question] link to contact us and we'll respond within 2 business days.