"Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning	Bharath Ramsundar	2018	O'Reilly Media
Hands-on Reinforcement Learning with Python. Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow	Sudharsan Ravichandiran	2018	Packt
Hands-on Reinforcement Learning with Python. Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow	Sudharsan Ravichandiran	2018	Packt
Hands-On Reinforcement Learning with Python: Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow	Ravichandiran, Sudharsan	2018;2019	Packt Publishing Ltd
Deep Reinforcement Learning	Aske Plaat	1st ed. 2022	Springer Nature Singapore
Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym	Nimish Sanghi	1st ed.	Apress
Deep Learning with Tensorflow	Zaccone, Giancarlo; Karim, Mohammad Rezaul; Menshawy, Ahmed	2017	Packt Publishing
Grokking Deep Reinforcement Learning	Miguel Morales	2020	Manning Publications
Deep Reinforcement Learning for Wireless Networks	F. Richard Yu; Ying He	1st ed. 2019	Springer International Publishing
B05478 Deep Learning with TensorFlow	Zaccone, Giancarlo; Karim, Mohammad Rezaul; Menshawy, Ahmed	2017	Packt Publishing
Deep Reinforcement Learning Hands-On	Maxim Lapan	2020	Packt
Deep Reinforcement Learning in Action	Alexander Zai, Brandon Brown	2020	Manning Publications
Learning TensorFlow: a guide to building deep learning systems /	Hope, Tom; Resheff, Yehezkel S.,; Lieder, Itay,	[2017]	O'Reilly,
Learning Tensorflow: A Guide to Building Deep Learning Systems	Tom Hope; Yehezkel S Resheff; Itay Lieder	2017	O'Reilly Media
TensorFlow深度学习 = Deep learning with TensorFlow	Giancarlo Zaccone; Ahmed Menshawy; Md. Rezaul Karim	2018	人民邮电出版社
Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow	Hisham El-Amir; Mahmoud Hamdy	1st ed.	Apress
Zero to Deep Learning with Keras and Tensorflow	Mosconi F	2019	Catalit LLC
Statistical Regression and Classification: From Linear Models to Machine Learning	Norman Matloff	2017	Routledge
Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications (English Edition)	Mohan Kumar Silaparasetty	2022	BPB Publications
HANDS-ON REINFORCEMENT LEARNING WITH PYTHON -: master reinforcement and deep reinforcement. . . learning from scratch using openai gym and tensorf.	SUDHARSAN RAVICHANDIRAN	2020	PACKT PUBLISHING LIMITED
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
From Linear Regression to Deep Learning		Analytical Skills for AI and Data Science: Building Skills for an AI-Driven Enterprise	Daniel Vaughan	2020	O'Reilly Media
From Reinforcement Learning to Deep Reinforcement Learning: An Overview	Forest Agostinelli; Guillaume Hocquet; Sameer Singh; Pierre Baldi	Braverman Readings in Machine Learning. Key Ideas from Inception to Current State: International Conference Commemorating the 40th Anniversary of Emmanuil Braverman' s Decease, Boston, MA, USA, April 28-30, 2017, Invited Talks	Lev Rozonoer; Boris Mirkin; Ilya Muchnik	1st ed. 2018	Springer International Publishing
From Linear Regression to Deep Networks		Dive into Deep Learning	Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola	2021	d2l.ai
Linear Regression in TensorFlow		Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning	Bharath Ramsundar	2018	O'Reilly Media
Linear Regression with TensorFlow		Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems	Aurélien Géron	2017	O'Reilly Media
Linear regression in TensorFlow		Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3. 7	Alberto Fernandez Villan	2019	Packt Publishing
Linear Regression with TensorFlow		Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems	Géron, Aurélien	2017	O'Reilly Media
Linear regression with TensorFlow		Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks	Ahmed Menshawy	2018	Packt Publishing
Deep Reinforcement Learning: From Q-Learning to Deep Q-Learning	Fuxiao Tan; Pengfei Yan; Xinping Guan	Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part IV	Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao; El-Sayed M. El-Alfy	1st ed. 2017	Springer International Publishing
Learning the TensorFlow way of linear regression		TensorFlow Machine Learning Cookbook: Over 60 Recipes to Build Intelligent Machine Learning Systems with the Power of Python, 2nd Edition	Nick McClure	2018	Packt Publishing - ebooks Account
Learning the TensorFlow way of linear regression		Machine Learning Using TensorFlow Cookbook: Over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developer Experts	Alexia Audevart, Konrad Banachewicz, Luca Massaron	2021	Packt Publishing
Learning The TensorFlow Way of Linear Regression		TensorFlow Machine Learning Cookbook.	McClure, Nick.	2017.	Packt Publishing,
Deep Reinforcement Learning	Chong Li	Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies	Chong Li; Meikang Qiu	2019	Routledge
Deep Reinforcement Learning	Mrinal Paliwal	International Conference on Intelligent Emerging Methods of Artificial Intelligence & Cloud Computing: Proceedings of IEMAICLOUD 2021	Fausto Pedro García Márquez	1st ed. 2022	Springer International Publishing
Deep Reinforcement Learning	Paul Fergus; Carl Chalmers	Applied Deep Learning: Tools, Techniques, and Implementation	Paul Fergus; Carl Chalmers	1st ed. 2022	Springer International Publishing
Deep reinforcement learning	Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas	Deep Learning for Robot Perception and Cognition	Alexandros Iosifidis and Anastasios Tefas	2022	Academic Press
Deep Reinforcement Learning		Creating Augmented and Virtual Realities: Theory and Practice for Next-Generation Spatial Computing	Erin Pangilinan; Steve Lukas; Vasanth Mohan	2019	O'Reilly Media
Deep Reinforcement Learning		Reinforcement Learning: Industrial Applications of Intelligent Agents	Phil Winder	2020	O'Reilly Media
Deep reinforcement learning		Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems	Amita Kapoor	2019	Packt Publishing
Deep reinforcement learning		Deep Learning for Beginners; A beginner's guide to getting up and running with deep learning from scratch using Python	Dr. Pablo Rivas	2020	Packt
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning" - similar Books and Chapters