BOOKS - PROGRAMMING - Deep Learning in Practice
Deep Learning in Practice - Mehdi Ghayoumi 2022 PDF CRC Press BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
96281

Telegram
 
Deep Learning in Practice
Author: Mehdi Ghayoumi
Year: 2022
Pages: 219
Format: PDF
File size: 40,7 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Generative Deep Learning with Python Unleashing the Creative Power of AI
MATLAB Deep Learning Toolbox User’s Guide (R2022b)
Introduction to Deep Learning with complete Python and TensorFlow examples
Understanding Deep Learning Application in Rare Event Prediction
Inside Deep Learning Math, Algorithms, Models (MEAP)
Hardware Architectures for Deep Learning (Materials, Circuits and Devices)
Deep Learning with Python, 2nd Edition (MEAP Version 4)
Deep Learning from Scratch Building with Python from First Principles (First Releas)
Generative Deep Learning with Python Unleashing the Creative Power of AI
Applications of Deep Machine Learning in Future Energy Systems
Deep Learning (MIT Press Essential Knowledge series)
Multimodal Scene Understanding Algorithms, Applications and Deep Learning
Deep Learning for Natural Language Processing: A Gentle Introduction
Deep Learning Tools for Predicting Stock Market Movements
Deep Learning from first principles Second Edition In vectorized Python, R and Octave
Deep Learning for Medical Image Analysis, 2nd Edition
MATLAB Deep Learning Toolbox Getting Started Guide (R2020a)
Deep Learning for Natural Language Processing A Gentle Introduction
Practical MATLAB Deep Learning: A Project-Based Approach
Ultimate Step by Step Guide to Deep Learning Using Python Artificial Intelligence and Neural Network Concepts Explained in Simple Terms (Ultimate Step by Step Guide to Machine Learning Book 2)
Deep Reinforcement Learning and Its Industrial Use Cases AI for Real-World Applications
Federated Deep Learning for Healthcare A Practical Guide with Challenges and Opportunities
Geometry of Deep Learning: A Signal Processing Perspective (Mathematics in Industry, 37)
Fundamentals and Methods of Machine and Deep Learning Algorithms, Tools, and Applications
Data-Driven Clinical Decision-Making Using Deep Learning in Imaging
Deep Learning in Medical Image Processing and Analysis (Healthcare Technologies)
Federated Deep Learning for Healthcare A Practical Guide with Challenges and Opportunities
Introduction to Deep Learning and Neural Networks with Python™ A Practical Guide
Deep Learning Illustrated A Visual, Interactive Guide to Artificial Intelligence
Introduction to Deep Learning for Engineers Using Python and Google Cloud Platform
Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers
Deep Learning Illustrated A Visual, Interactive Guide to Artificial Intelligence
Shallow and Deep Learning Principles: Scientific, Philosophical, and Logical Perspectives
Deep Learning Techniques and Optimization Strategies in Big Data Analytics
Data-Driven Clinical Decision-Making Using Deep Learning in Imaging
Strategies for Deep Learning with Digital Technology Theories and Practices in Education
Emerging Technologies for Healthcare Internet of Things and Deep Learning Models
Probabilistic Deep Learning With Python, Keras and TensorFlow Probability (Final)
Deep Reinforcement Learning and Its Industrial Use Cases AI for Real-World Applications