Cover Image

QR Code

Foundations of deep reinforcement learning : theory and practice in Python

Main Author:	Graesser, Laura Harding
Other Authors:	Keng, Wah Loon
Subjects:	Reinforcement learning Artificial intelligence Machine learning Python (Computer program language) Neural networks (Computer science) Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Hands-on Python deep learning for the Web : integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
by: Singh, Anubhav

Hands-on deep learning with R : a practical guide to designing, building, and improving neural network models using R
by: Pawlus, Michael

Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more
by: Atienza, Rowel

Deep reinforcement learning
by: Plaat, Aske

Handbook of research on deep learning innovations and trends

Introduction to deep learning : from logical calculus to artificial intelligence
by: Skansi, Sandro
Published: (2018)

Neural networks and deep learning : a textbook
by: Aggarwal, Charu C
Published: (2018)

Deep neuro-fuzzy systems with Python : with case studies and applications from the industry
by: Singh, Himanshu

The deep learning with Keras workshop : an interactive approach to understanding deep learning with Keras
by: Moocarme, Matthew

Meta-learning : theory, algorithms and applications

Generative adversarial networks and deep learning : theory and applications

Deep learning with R cookbook : over 45 unique recipes to delve into neural network techniques using R 3.5.x
by: Gupta, Swarna

Learning deep learning : theory and practice of neural networks, computer vision, nlp, and transformers using tensorflow
by: Ekman, Magnus

A few things I know about her : a personally machine learning inspired approach to understand surrounding nature
by: Apolloni, Bruno

Fundamentals of artificial neural networks
by: Hassoun, Mohamad H
Published: (2007)

Artificial intelligence for cognitive modeling : theory and practice
by: Dutta, Pijush

PyTorch recipes : a problem-solution approach to build, train and deploy neural network models
by: Mishra, Pradeepta

Deep learning : a visual approach
by: Glassner, Andrew S.

Machine learning with neural networks : an introduction for scientists and engineers
by: Mehlig, Bernhard

Applied deep learning with TensorFlow 2 : learn to implement advanced deep learning techniques with Python
by: Michelucci, Umberto

Practical Python AI projects : mathematical models of optimization problems with Google OR-tools
by: Kruk, Sergei

Artificial Neural Network (ANN) based technique for point of collapse prediction
by: Zailani Ab Ghani
Published: (2005)

Applied machine learning with python
by: Giussani, Andrea

Neural networks : a comprehensive foundation
by: Haykin, Simon
Published: (1999)

Neural networks, machine learning, and image processing : mathematical modelling and applications

Hands-on one-shot learning with Python : learn to implement fast and accurate deep learning models with fewer training samples using PyTorch
by: Jadon, Shruti

Static and dynamic neural networks : from fundamentals to advanced theory
by: Gupta, Madan M
Published: (2003)

Brain and nature-inspired learning computation and recognition

An introduction to machine learning
by: Kubat, Miroslav

Introduction to machine learning
by: Alpaydin, Ethem

Practical machine learning with Rust : creating intelligent applications in Rust
by: Bhattacharjee, Joydeep

Optimal reactive power dispatch using artificial immune system (AIS)
by: Mohd Zaki Mohd Idrus
Published: (2005)

Artificial neural network-based optimized design of reinforced concrete structures
by: Hong, Won-Kee

PyTorch artificial intelligence fundamentals : a recipe-based approach to design, build and deploy your own AI models with PyTorch 1.x
by: Mathew, Jibin

Python debugging for AI, machine learning, and cloud computing : a pattern-oriented approach
by: Vostokov, Dmitry

Python natural language processing : explore NLP with machine learning and deep lerning techniques
by: Thanaki, Jalaj

Practical explainable AI using Python : artificial intelligence model explanations using Python-based libraries, extensions, and frameworks
by: Mishra, Pradeepta

Deep learning for natural language processing : a gentle introduction
by: 9781316515662

Java deep learning cookbook : train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
by: Raj, Rahul

Neural networks : a classroom approach
by: Kumar, Satish
Published: (2004)