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Category: Tutorial
Building Neural Networks with CNTK Using Apache Spark and Azure HDInsight

Building Neural Networks with CNTK Using Apache Spark and Azure HDInsight
.MP4, AVC, 461 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 41 mins | 210 MB
Instructor: Mark Tabladillo

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Category: Tutorial
Artificial Intelligence with Python - Deep Neural Networks

Artificial Intelligence with Python - Deep Neural Networks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 19M | 338 MB
Genre: eLearning | Language: English

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Category: Tutorial
Neural Networks in Machine Learning for Developers

Neural Networks in Machine Learning for Developers
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 44M | 157 MB
Genre: eLearning | Language: English

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Category: E-Book
An Introduction to Neural Networks

An Introduction to Neural Networks by Kevin Gurney
English | Aug. 7, 1997 | ISBN: 1857285034 | 317 Pages | PDF | 4 MB
Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps.
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Category: Tutorial
Building Neural Networks with TensorFlow
Building Neural Networks with TensorFlow
.MP4, AVC, 676 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 57 mins | 379 MB
Instructor: Mark Tabladillo

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Category: Tutorial
Building Neural Networks with MXNet
Building Neural Networks with MXNet
.MP4, AVC, 780 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 1 hr 12 mins | 525 MB
Instructor: Mark Tabladillo

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Category: E-Book
Competition-Based Neural Networks with Robotic Applications

Competition-Based Neural Networks with Robotic Applications By huai Li, Long Jin
English | PDF | 2018 | 132 Pages | ISBN : 9811049467 | 14 MB
Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competition in a group of multiple agents.
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Category: E-Book
Bayesian Learning for Neural Networks (Lecture Notes in Statistics)

Bayesian Learning for Neural Networks (Lecture Notes in Statistics) by Radford M. Neal
English | Aug. 9, 1996 | ISBN: 0387947248 | 195 Pages | PDF | 2 MB
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates how Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional training methods.
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Category: E-Book
Neural Fields: Theory and Applications

Neural Fields: Theory and Applications By Stephen Coombes, Peter beim Graben, Roland Potthast
2014 | 488 Pages | ISBN: 3642545920 | PDF | 11 MB
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Category: Tutorial
Sentiment Analysis with Recurrent Neural Networks in TensorFlow

Sentiment Analysis with Recurrent Neural Networks in TensorFlow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 520 MB
Genre: eLearning | Language: English
Recurrent neural networks (RNNs) are ideal for considering sequences of data. In this course, you'll explore how word embeddings are used for sentiment analysis using neural networks.

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