შეწირულობა 15 სექტემბერს 2024 – 1 ოქტომბერს 2024 თანხის შეგროვების შესახებ

Neural Networks and Deep Learning

Main
Computers - Computer Science
Neural Networks and Deep Learning

Neural Networks and Deep Learning

Michael Nielsen

5.0 / 3.5

როგორ მოგეწონათ ეს წიგნი?

როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

კატეგორია:

Computers - Computer Science

ენა:

english

ფაილი:

PDF, 5.45 MB

IPFS:

,

english0

ონლაინ წაკითხვა

ხორციელდება კონვერტაციის -ში

კონვერტაციის -ში ვერ მოხერხდა

შესაძლოა დაგაინტერესოთ

Daniel Jurafsky, James H. Martin — Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition

Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola — Dive into Deep Learning

Michael Nielsen — 神经网络与深度学习

Jason Brownlee — Better Deep Learning: Train Faster, Reduce Overfitting, and Make Better Predictions

Daniel Voigt Godoy — Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide

Ian Goodfellow, Yoshua Bengio and Aaron Courville — Deep Learning

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

Adrian Rosebrock — Deep Learning for Computer Vision with Python, Volume 2

Dan Jurafsky and James H. Martin — Speech and Language Processing (3rd ed. draft)

Andrew Glassner — Deep Learning, Vol. 2: From Basics to Practice

Andrew Glassner — Deep Learning, Vol. 1: From Basics to Practice

Andrew Ng — Machine Learning Yearning (Draft Version)

Michael Nielsen — Neural networks and deep learning

Josh Hugh Learning — Python Machine Learning. A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learning with Scikit-Learn, TensorFlow, and Keras.

Andrew Ng — Machine Learning Yearning

Harrison Kinsley, Daniel Kukieła — Neural Networks from Scratch in Python

Simon Haykin — Neural Networks: A Comprehensive Foundation

Christopher M. Bishop — Neural Networks for Pattern Recognition

Ian Goodfellow, Yoshua Bengio, Aaron Courville — Deep Learning

Terrence J. Sejnowski — The Deep Learning Revolution: Machine Intelligence Meets Human Intelligence

Eugene Charniak — Introduction to Deep Learning

Simon J.D. Prince — Understanding Deep Learning

Christopher D. Manning, Hinrich Schuetze — Foundations of Statistical Natural Language Processing

Marvin Minsky, Seymour A. Papert — Perceptrons: An Introduction to Computational Geometry

Christopher M. Bishop — Pattern Recognition and Machine Learning

Vladimir N. Vapnik — Statistical Learning Theory

Martin Anthony, Peter L. Bartlett — Neural Network Learning: Theoretical Foundations

Martin T. Hagan et al. — Neural Network Design

Michael A. Nielsen, Isaac L. Chuang — Quantum Computation and Quantum Information: 10th Anniversary Edition

Ragav Venkatesan, Baoxin Li — Convolutional Neural Networks in Visual Computing: A Concise Guide

Jeff Heaton — Introduction to the Math of Neural Networks

J. Patterson, A. Gibson — Deep Learning: A Practitioner's Approach

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

Aurélien Géron — Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Aurelien Geron [Géron, Aurélien] — Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Michael Nielsen — Neural networks and deep learning

Pete Warden, Daniel Situnayake — TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

Gant Laborde — Learning Tensorflow.js: Powerful Machine Learning in JavaScript

Tariq Rashid — Make Your Own Neural Network

Michael Taylor — Neural Networks: A Visual Introduction for Beginners

Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin — Learning From Data: A short course

Li Deng, Dong Yu — Deep Learning: Methods and Applications

საკვანძო ფრაზები

დაკავშირებული კოლექციები