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Keras

Artificial Intelligence #5: MLP Networks with Scikit & Keras  eBooks & eLearning

Posted by naag at May 17, 2019
Artificial Intelligence #5: MLP Networks with Scikit & Keras

Artificial Intelligence #5: MLP Networks with Scikit & Keras
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 22 | 900 MB
Genre: eLearning | Language: English
Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python

Jojo Moolayil, "Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python"
English | ISBN: 1484242394 | 2019 | 182 pages | PDF, EPUB | 5 MB
Data Analytics: 2 Manuscripts – Introduction to Data Analytics and Deep Learning with Keras

Data Analytics: 2 Manuscripts – Introduction to Data Analytics and Deep Learning with Keras
English | 2017 | ASIN: B073VNG969 | 160 pages | AZW3 | 0.3 Mb

Neural Networks (ANN) in R studio using Keras & TensorFlow  eBooks & eLearning

Posted by Sigha at Nov. 26, 2019
Neural Networks (ANN) in R studio using Keras & TensorFlow

Neural Networks (ANN) in R studio using Keras & TensorFlow
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 3.03 GB
Genre: eLearning Video | Duration: 7.5 hour | Language: English

Learn Artificial Neural Networks (ANN) in R. Build predictive deep learning models using Keras and Tensorflow| R Studio.

Keras Deep Learning Projects  eBooks & eLearning

Posted by naag at Feb. 2, 2018
Keras Deep Learning Projects

Keras Deep Learning Projects
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 43M | 529 MB
Genre: eLearning | Language: English

Keras is a deep learning library for fast, efficient training of deep learning models, and can also work with Tensorflow and Theano. Because it is lightweight and very easy to use, Keras has gained quite a lot of popularity in a very short time.

Deep Learning with Keras: Introduction to Deep Learning with Keras  eBooks & eLearning

Posted by naag at July 1, 2017
Deep Learning with Keras: Introduction to Deep Learning with Keras

Deep Learning with Keras: Introduction to Deep Learning with Keras
English | 2017 | ASIN: B073K22F63 | 56 pages | AZW3/PDF/EPUB (conv) | 0.7 Mb

Deep Learning with Keras

Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python  eBooks & eLearning

Posted by AvaxGenius at Dec. 9, 2017
Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python

Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python By Abhishek Nandy
English | PDF,EPUB | 2017 (2018 Edition) | 174 Pages | ISBN : 1484232844 | 16.61 MB

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process.
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning..

Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions by Alex Galea, Luis Capelo
English | October 9th, 2018 | ISBN: 1789804744 | 334 Pages | EPUB | 33.94 MB

A hands-on guide to deep learning that’s filled with intuitive explanations and engaging practical examples

Introduction to Keras  eBooks & eLearning

Posted by naag at July 23, 2019
Introduction to Keras

Introduction to Keras
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 409 MB
Genre: eLearning | Language: English
Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning...

Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents by Giuseppe Ciaburro
English | October 9th, 2018 | ISBN: 1789342090 | 290 Pages | EPUB | 28.57 MB

A practical guide to mastering reinforcement learning algorithms using Keras