BOOKS - PROGRAMMING - Learning Deep Learning Theory and Practice of Neural Networks, ...
Learning Deep Learning Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow - Magnus Ekman 2022 PDF | EPUB Addison-Wesley Professional BOOKS PROGRAMMING
ECO~23 kg CO²

2 TON

Views
63134

Telegram
 
Learning Deep Learning Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow
Author: Magnus Ekman
Year: 2022
Pages: 747
Format: PDF | EPUB
File size: 10 MB, 43 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Python Programming The Crash Course for Python Projects – Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners
Building Machine Learning Systems Using Python Practice to Train Predictive Models and Analyze Machine Learning Results
Learn Autonomous Programming with Python: Utilize Python|s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation (English Edition)
Python Programming, Deep Learning 3 Books in 1 A Complete Guide for Beginners, Python Coding for AI, Neural Networks, & Machine Learning, Data Science/Analysis with Practical Exercises for Learners
How to Learn Faster: 7 Easy Steps to Master Accelerated Learning Techniques, Learning Strategies and Fast Self-learning
Unobtrusive Observations of Learning in Digital Environments: Examining Behavior, Cognition, Emotion, Metacognition and Social Processes Using Learning … in Analytics for Learning and Teaching)
Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks
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
Deep Learning with C#, .Net and Kelp.Net The Ultimate Kelp.Net Deep Learning Guide
Digital Games and Language Learning: Theory, Development and Implementation (Advances in Digital Language Learning and Teaching)
Ways of Learning: Learning Theories and Learning Styles in the Classroom
Data Science from Scratch Want to become a Data Scientist? This guide for beginners will walk you through the world of Data Science, Big Data, Machine Learning and Deep Learning
Machine Learning for Beginners A Complete and Phased Beginner’s Guide to Learning and Understanding Machine Learning and Artificial Intelligence Algoritms
Hands-on Supervised Learning with Python Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms
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)
Easy Learning Irish Verbs: Trusted support for learning (Collins Easy Learning)
Deep Learning
Digital Games and Learning: Research and Theory (Digital Games, Simulations, and Learning)
Linear Algebra And Optimization With Applications To Machine Learning - Volume II Fundamentals of Optimization Theory with Applications to Machine Learning
Math for Deep Learning
Deep Learning with Python
The Science of Deep Learning
Interpretability in Deep Learning
Deep Learning For Dummies
The Deep Learning Revolution
Learning Deep Architectures for AI
Deep Reinforcement Learning
Regularization in Deep Learning
Deep Learning in Biometrics
Deep Learning on Graphs
Deep Learning for Search
Understanding Deep Learning
Deep Learning for Engineers
Deep Learning Algorithms
Demystifying Deep Learning
Deep Learning and the Game of Go
Deep Learning for Engineers
Understanding Deep Learning
The Little Book of Deep Learning
Understanding Deep Learning