Grigorev / Shanmugamani / Boschetti | TensorFlow Deep Learning Projects | E-Book | sack.de
E-Book

E-Book, Englisch, 320 Seiten

Grigorev / Shanmugamani / Boschetti TensorFlow Deep Learning Projects

10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
1. Auflage 2018
ISBN: 978-1-78839-838-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning

E-Book, Englisch, 320 Seiten

ISBN: 978-1-78839-838-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



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Weitere Infos & Material


Table of Contents - Recognizing traffic signs using Convnets
- Annotating Images with Object Detection API
- Caption generation for images
- Building GANs for Conditional Image Creation
- Stock Price Prediction with LSTM

- Create & Train Machine Translation Systems
- Train and set up a Chatbot, able to discuss like a human
- Detecting Duplicate Quora Questions
- Building a TensorFlow Recommender Systems

- Video Games by Reinforcement learning


Grigorev Alexey:

Alexey Grigorev is a skilled data scientist, machine learning engineer, and software developer with more than 8 years of professional experience. He started his career as a Java developer working at a number of large and small companies, but after a while he switched to data science. Right now, Alexey works as a data scientist at Simplaex, where, in his day-to-day job, he actively uses Java and Python for data cleaning, data analysis, and modeling. His areas of expertise are machine learning and text mining.Shanmugamani Rajalingappaa:

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.



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