BOOKS - PROGRAMMING - Advanced Methods and Deep Learning in Computer Vision
Advanced Methods and Deep Learning in Computer Vision - E.R. Davies, Matthew A. Turk 2022 PDF Elsevier Inc. BOOKS PROGRAMMING
ECO~19 kg CO²

2 TON

Views
88725

Telegram
 
Advanced Methods and Deep Learning in Computer Vision
Author: E.R. Davies, Matthew A. Turk
Year: 2022
Pages: 584
Format: PDF
File size: 26,5 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Interpretability in Deep Learning
Deep Learning in Practice
The Science of Deep Learning
Deep Learning For Dummies
Regularization in Deep Learning
Deep Learning Algorithms
Math for Deep Learning
Advanced React What is happening under the hood. Deep dives, investigations, performance patterns and techniques
Image Processing and Machine Learning, Volume 2 Advanced Topics in Image Analysis and Machine Learning
Python Programming, Deep Learning: 3 Books in 1: A Complete Guide for Beginners, Python Coding for AI, Neural Networks, and Machine Learning, Data Science Analysis … Learners (Python Programming
Robust Machine Learning Distributed Methods for Safe AI
The Mathematics of Machine Learning Lectures on Supervised Methods and Beyond
The Mathematics of Machine Learning Lectures on Supervised Methods and Beyond
Hamiltonian Monte Carlo Methods in Machine Learning
Learning Analytics Methods and Tutorials A Practical Guide Using R
Digital Futures for Learning: Speculative Methods and Pedagogies
Learning Analytics Methods and Tutorials A Practical Guide Using R
Learning Analytics Methods and Tutorials: A Practical Guide Using R
Social Learning: An Introduction to Mechanisms, Methods, and Models
The Mathematics of Machine Learning Lectures on Supervised Methods and Beyond
Robust Machine Learning Distributed Methods for Safe AI
Adaptive Learning Methods for Nonlinear System Modeling
Monte Carlo Methods for Radiation Transport: Fundamentals and Advanced Topics (Biological and Medical Physics, Biomedical Engineering)
Deep Learning for Video Understanding
Deep Learning A Practical Introduction
Deep Reinforcement Learning in Action
Dive into Deep Learning (Release 0.16.6)
Deep Learning Foundations and Concepts
Deep Learning for Multimedia Processing
Deep Reinforcement Learning with Python, 2E
Mathematical Engineering of Deep Learning
Deep Learning in a Disorienting World
Deep Learning and its Applications using Python
Deep Learning for 3D Point Clouds
Deep Learning Through the Prism of Tensors
Hands-On Deep Learning with Tensorflow
A Visual Introduction to Deep Learning
Deep Learning Foundations and Concepts
Engineering Deep Learning Systems
Deep Learning and its Applications using Python