Applications of Deep Neural Networks to Machine Learning Tasks
Deep Learning for Natural Language Processing: Applications of Deep Neural Networks to Machine Learning Tasks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5.5 Hours | 8.59 GB
By Jon Krohn | Genre: eLearning | Language: English

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Stimulation and Recording Electrodes for Neural Prostheses

Stimulation and Recording Electrodes for Neural Prostheses By Naser Pour Aryan, Hans Kaim, Albrecht Rothermel
2015 | 89 Pages | ISBN: 3319100513 | PDF | 3 MB
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Deep Learning for Natural Language Processing: Applications of Deep Neural Networks to Machine Learn...

Deep Learning for Natural Language Processing: Applications of Deep Neural Networks to Machine Learning Tasks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5.5 Hours | 8.59 GB
Genre: eLearning | Language: English

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MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
English | 15 Jun. 2017 | ISBN: 1484228448 | 172 Pages | EPUB | 1.91 MB
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Advances in Neural Networks - ISNN 2016: 13th International Symposium on Neural Networks

Advances in Neural Networks - ISNN 2016: 13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings by Long Cheng, Qingshan Liu, Andrey Ronzhin
English | 2016 | ISBN: 3319406620 | 741 Pages | PDF | 63.5 MB
This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016.
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Multilayer Neural Networks

Multilayer Neural Networks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 291 MB
Genre: eLearning | Language: English

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O'Reilly - Understanding Convolutional Neural Networks (CNNs)

O'Reilly - Understanding Convolutional Neural Networks (CNNs)
English | Size: 991.69 MB
Category: Tutorial

Convolutional neural networks (CNNs) enable very powerful deep learning based techniques for processing, generating, and sensemaking of visual information. These are revolutionary techniques in computer vision that impact technologies ranging from e-commerce to self-driving cars. This course offers an in-depth examination of CNNs, their fundamental processes, their applications, and their role in visualization and image enhancement. The course covers concepts, processes, and technologies such as CNN layers and architectures. It also explains CNN image classification and segmentation, deep dream and style transfer, super-resolution, and generative adversarial networks (GANs). Learners who come to this course with a basic knowledge of deep learning principles, some computer vision experience, and exposure to engineering math should gain the ability to implement CNNs and use them to create their own visualizations.
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Deep Learning: Convolutional Neural Networks in Python

Deep Learning: Convolutional Neural Networks in Python
$120 | Duration: 4 hours | Video: h264, 1280x720 | Audio: AAC, 44100 Hz, 2 Ch | 464 MB
Genre: eLearning | Language: English | Project Files
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Decentralized Neural Control: Application to Robotics (Studies in Systems, Decision and Control)

Decentralized Neural Control: Application to Robotics (Studies in Systems, Decision and Control) by Ramon Garcia-Hernandez
English | 7 Mar. 2017 | ISBN: 3319533118 | 111 Pages | PDF | 4.3 MB
This book provides a decentralized approach for the identification and control of robotics systems. It also presents recent research in decentralized neural control and includes applications to robotics. Decentralized control is free from difficulties due to complexity in design, debugging, data gathering and storage requirements, making it preferable for interconnected systems.
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Deep Learning A-Z™: Hands-On Artificial Neural Networks (2017)
WEBRip | English | MP4 | 1280 x 720 | AVC ~48 kbps | 30 fps
AAC | 192 Kbps | 48.0 KHz | 2 channels | 21:52:04 | 3.15 GB
Genre: eLearning Video / Development, Programming


Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts.
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