★★★★☆
3.7 étoiles sur 5 de 614 notations client
2017-09-12
Learning TensorFlow : A Guide to Building Deep Learning Systems - de Tom Hope, Yehezkel S. Resheff, Itay Lieder (Author)
Caractéristiques Learning TensorFlow : A Guide to Building Deep Learning Systems
La ligne ci-dessous répertorie les spécificités utiles sur Learning TensorFlow : A Guide to Building Deep Learning Systems
| Le Titre Du Fichier | Learning TensorFlow : A Guide to Building Deep Learning Systems |
| Date de Parution | 2017-09-12 |
| Traducteur | Harlei Nagma |
| Chiffre de Pages | 785 Pages |
| La taille du fichier | 56.20 MB |
| Langue du Livre | Français & Anglais |
| Éditeur | Charles Scribner's Sons |
| ISBN-10 | 6403537311-NLX |
| Format de E-Book | PDF AMZ EPub AZW NBP |
| Auteur | Tom Hope, Yehezkel S. Resheff, Itay Lieder |
| Digital ISBN | 768-9093484119-NAG |
| Nom de Fichier | Learning-TensorFlow-A-Guide-to-Building-Deep-Learning-Systems.pdf |
Télécharger Learning TensorFlow : A Guide to Building Deep Learning Systems Livre PDF Gratuit
MIT Introduction to Deep Learning lectures and labs are are opensource and free for everyone MIT 6S191 Introduction to Deep Learning is an introductory course offered formally at MIT and open
Deep learning is also a new superpower that will let you build AI systems that just werent possible a few years ago In this course you will learn the foundations of deep learning When you finish this class you will Understand the major technology trends driving Deep Learning Be able to build train and apply fully connected deep neural networks Know how to implement efficient
What you will learn Gain a Strong Understanding of TensorFlow Google’s CuttingEdge Deep Learning Framework Build Deep Learning Algorithms from Scratch in Python Using NumPy and TensorFlow
Course Ratings are calculated from individual students’ ratings and a variety of other signals like age of rating and reliability to ensure that they reflect course quality fairly and accurately
TensorFlow is a 2nd Generation API of Googles open source software library for Deep Learning The system is designed to facilitate research in machine learning and to make it quick and easy to transition from research prototype to production system
It also contains highlevel Python API’ for building and training Deep Learning Models Now that we have a preliminary understanding of the Google TensorFlow lets move on to Deep Learning
Handson Machine Learning With Scikitlearn Keras and Tensorflow Concepts Tools and Techniques to Build Intelligent Systems Anglais Broché – 30 septembre 2019