Introduction to Deep Learning. From Logical Calculus to...

Main
Computers
Introduction to Deep Learning. From...

Introduction to Deep Learning. From Logical Calculus to Artificial Intelligence

Sandro Skansi

0 / 0

Quanto ti piace questo libro?

Qual è la qualità del file?

Scarica il libro per la valutazione della qualità

Qual è la qualità dei file scaricati?

Categorie:

Anno:

2018

Casa editrice:

Springer

Lingua:

english

Pagine:

193

ISBN 10:

3319730045

ISBN 13:

9783319730042

File:

PDF, 2.67 MB

IPFS:

,

english, 2018

Leggi Online

La conversione in è in corso

La conversione in non è riuscita

Puoi essere interessati a

Indranath, Chatterjee — Machine Learning and Its Application: A Quick Guide for Beginners

Magnus Ekman — Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow

LazyProgrammer — Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow

Sandro Skansi — Introduction to Deep Learning

Liquet, Benoit & Moka, Sarat & Nazarathy, Yoni — Mathematical Engineering of Deep Learning

Michael Nielsen — Neural Networks and Deep Learning

LazyProgrammer — Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow (Machine Learning in Python)

Keinosuke Fukunaga — The artificial neural network book

Seyedeh Leili Mirtaheri, Reza Shahbazian — Machine Learning Theory to Applications: Theory to Applications

Seyedeh Leili Mirtaheri, Reza Shahbazian — Machine Learning: Theory to Applications

Bernhard Mehlig — Machine Learning with Neural Networks: An Introduction for Scientists and Engineers

Santanu Pattanayak — Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

Gibson, Adam;Patterson, Josh — Deep Learning

Nikhil Buduma — Fundamentals of Deep Learning

Nikhil Buduma, Nicholas Locascio — Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

Michael Nielsen — Neural networks and deep learning

Nithin Buduma, Nikhil Buduma, Joe Papa — Fundamentals of Deep Learning, 2nd Edition (Early Release)

Nikhil Buduma — Fundamentals of Deep Learning

Jeff Heaton — Artificial Intelligence for Humans, Volume 3

Indranath Chatterjee — Machine Learning and Its Application: A Quick Guide for Beginners

Juergen Brauer — Introduction to Deep Learning (Black/White version): with complete Python and TensorFlow examples

Dan Van Boxel — Hands-On Deep Learning with Tensorflow

Mike Bernico — Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Ivan Vasilev & Daniel Slater & Gianmario Spacagna &Peter Roelants & Valentino Zocca — Python Deep Learning -Second Edition

Sandro Skansi — Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence

Sandro Skansi — Introduction to Deep Learning

Heaton, Jeff — Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks

LazyProgrammer — Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow

Boxel, Dan Van — Hands-On Deep Learning with TensorFlow

Termini più frequenti