BOOKS - PROGRAMMING - Grokking Deep Reinforcement Learning (Final Edition)
Grokking Deep Reinforcement Learning (Final Edition) - Miguel Morales 2020 PDF Manning Publications BOOKS PROGRAMMING
ECO~18 kg CO²

1 TON

Views
7640

Telegram
 
Grokking Deep Reinforcement Learning (Final Edition)
Author: Miguel Morales
Year: 2020
Pages: 472
Format: PDF
File size: 15.4 MB MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Math and Architectures of Deep Learning (Final Release)
Probabilistic Deep Learning With Python, Keras and TensorFlow Probability (Final)
Deep Learning at Scale At the Intersection of Hardware, Software, and Data (Final Release)
Deep Learning at Scale At the Intersection of Hardware, Software, and Data (Final Release)
Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
Getting started with Deep Learning for Natural Language Processing Learn how to build NLP applications with Deep Learning
Building Scalable Deep Learning Pipelines on AWS Develop, Train, and Deploy Deep Learning Models
Deep Learning fur die Biowissenschaften Einsatz von Deep Learning in Genomik, Biophysik, Mikroskopie und medizinischer Analyse
Deep Learning for the Life Sciences Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Deep Learning for Data Architects Unleash the power of Python|s deep learning algorithms
Deep Learning for Finance Creating Machine & Deep Learning Models for Trading in Python
Deep Learning for Finance Creating Machine & Deep Learning Models for Trading in Python
Deep Learning for Data Architects Unleash the power of Python|s deep learning algorithms
Statistical Reinforcement Learning Modern Machine Learning Approaches
Distributional Reinforcement Learning (Adaptive Computation and Machine Learning)
Default Loan Prediction Based On Customer Behavior Using Machine Learning And Deep Learning With Python, Second Edition
Deep Learning With Python Develop Deep Learning Models on Theano and TensorFlow using Keras
Transfer Learning for Multiagent Reinforcement Learning Systems
Grokking Data Structures (Final)
Grokking Concurrency (Final Release)
Data Science Crash Course Thyroid Disease Classification and Prediction Using Machine Learning and Deep Learning with Python GUI, Second Edition
Mastering Deep Learning A Comprehensive Guide to Master Deep Learning
Mastering Deep Learning A Comprehensive Guide to Master Deep Learning
Mastering Deep Learning: A Comprehensive Guide to Master Deep Learning
Deep Learning Beginner’s Guide to Learn the Realms of Deep Learning from A-Z
Hands-on Deep Learning A Guide to Deep Learning with Projects and Applications
Neural Networks and Deep Learning Neural Networks & Deep Learning, Deep Learning, Big Data
Grokking Web Application Security (Final Release)
Grokking Web Application Security (Final Release)
Fundamentals of Machine & Deep Learning A Complete Guide on Python Coding for Machine and Deep Learning with Practical Exercises for Learners (Sachan Book 102)
Grokking Simplicity Taming complex software with functional thinking (Final)
Deep Learning with Python The Crash Course for Beginners to Learn the Basics of Deep Learning with Python Using TensorFlow, Keras and PyTorch
Learning PyTorch 2.0, Second Edition Utilize PyTorch 2.3 and CUDA 12 to experiment neural networks and Deep Learning models
Learning PyTorch 2.0, Second Edition Utilize PyTorch 2.3 and CUDA 12 to experiment neural networks and Deep Learning models
Reinforcement Learning with TensorFlow: A beginner|s guide to designing self-learning systems with TensorFlow and OpenAI Gym
Deep Learning with Python Comprehensive Beginners Guide to Learn and Understand the Realms of Deep Learning with Python
Beginning with Deep Learning Using TensorFlow A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principle
Grokking Machine Learning
Grokking Machine Learning
Deep Learning With Python Simple and Effective Tips and Tricks to Learn Deep Learning with Python