名前: | [Packtpub Com] Python Deep Learning for Beginners - [FCO] GloDLS |
_DESCRIPTION_: By Rudy Lai Released Friday, November 30, 2018 New Release! Torrent Contains: 33 Files, 10 Folders Course Source: https://www.packtpub.com/big-data-and-business-intelligence/python-deep-learning-beginners-video Apply deep learning concepts and use Python to solve challenging tasks Video Details ISBN 9781788629942 Course Length 2 hours 39 minutes Table of Contents • UNDERSTANDING DEEP LEARNING • BUILDING THE BASIC BLOCKS OF MACHINE LEARNING • DIVING INTO DEEP NEURAL NETWORKS • DISCOVERING CONVOLUTIONAL NEURAL NETWORKS (CNNS) • USING CNNS TO SOLVE INCREASINGLY COMPLEX TASKS • LEARNING ABOUT DETECTION AND SEGMENTATION • EXPLORING RECURRENT NEURAL NETWORKS • OBJECT DETECTION USING CNNS • MOVING FORWARD WITH DEEP LEARNING AND AI Video Description We avoid complex math equations, which can often be a barrier to entry for newcomers. This course will teach you to apply deep learning concepts using Python to solve challenging tasks. You'll build a Python deep learning-based image recognition system and deploy and integrate images into web apps or phone apps. You will start out with an intuitive understanding of neural networks in general. We will guide you through the building blocks of deep learning networks to tackle complex neural networks. So, take this course and learn the skills and temperament need to enter the AI marketplace today. Style and Approach A direct, practical, and very hands-on approach where we deal less with theory and adopt a more hands-on style of learning. What You Will Learn • The history of neural networks, and where they are now • Get a brief understanding of trade-offs and practical implementation aspects • Get hands-on experience building basic neural network models (no math!) using Python • Ramp up productivity in model building by leveraging popular frameworks • Implement some state-of-the-art computer vision algorithms using deep learning and Python • Build and learn to deploy a practical deep learning application with Python • Get an overview of current skills, frameworks, tools, and techniques for the AI market • Build a deep learning-based image recognition system using Python and learn how to deploy and integrate it into web apps or phone apps Authors Rudy Lai Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, Machine Learning, and cloud computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drink s companies, helping each of them to make better sense of its data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action. read more at source. | |
YouTube動画: | |
カテゴリ: | Tutorials |
言語: | English |
合計サイズ: | 306.44 MB |
情報のハッシュ: | B11E29C6029605B73917AEF9574C08C9F257E0A9 |
を追加することによって: | Prom3th3uS |
追加日: | 2018-12-01 13:55:57 |
トレントステータス: | Torrent Verified |
評価: | Not Yet Rated (Log in to rate it) |
URL | シーダー | リーチャ | 完了 |
---|---|---|---|
https://tracker.fastdownload.xyz:443/announce | 0 | 0 | 0 |
udp://tw.opentracker.ga:36920/announce | 0 | 0 | 0 |
udp://tracker.tiny-vps.com:6969/announce | 0 | 0 | 0 |
https://seeders-paradise.org:443/announce | 0 | 0 | 0 |
udp://open.stealth.si:80/announce | 0 | 0 | 0 |
udp://hk1.opentracker.ga:6969/announce | 0 | 0 | 0 |
udp://open.stealth.si:80/announce | 0 | 0 | 0 |
https://opentracker.xyz:443/announce | 0 | 0 | 0 |
https://t.quic.ws:443/announce | 0 | 0 | 0 |
https://tracker.fastdownload.xyz:443/announce | 0 | 0 | 0 |
udp://tracker.opentrackr.org:1337/announce | 0 | 0 | 0 |
udp://ipv4.tracker.harry.lu:80/announce | 0 | 0 | 0 |
udp://tracker.coppersurfer.tk:6969/announce | 0 | 0 | 0 |
udp://zephir.monocul.us:6969/announce | 0 | 0 | 0 |
udp://open.demonii.si:1337/announce | 0 | 0 | 0 |