TensorFlow documentation
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Updated
Jul 2, 2024 - Jupyter Notebook
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
TensorFlow documentation
pytorch
Collection of google colaboratory notebooks for fast and easy experiments
TensorFlow - A curated list of dedicated resources. With repository stars⭐ and forks🍴
Translations of TensorFlow documentation
⚛️ Quantum 4 All - Research and Exploration in the Field of Quantum Computing
This is a Repository for our Capstone Project
This repository is a curated collection of beginner to advanced level tutorials covering a wide range of machine learning concepts and techniques.
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
A model which take an image of a hand making a sign (paper, scissor, rock) and detect which sign it is, improvement to come
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Tensorflow Advanced Technique Specialization - Solution
Mastering-TensorFlow-2.0-A-30-Day-Journey
A comprehensive collection of pre-written code for machine learning and deep learning use cases, all in one convenient place. Whether you're a seasoned practitioner or just starting your ML journey, this repository provides a solid foundation to build upon.
Tensorflow 2 Tutorials (use tensorflow and keras in a better way!)
Example of training NN based on Tensorflow Metal using ARM M chips from Apple
machine learning introduction, featuring Python, TensorFlow, Keras, examples... and love
Tutorials on machine learning, artificial intelligence in general and in biomedical research.
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Machine Learning Practise
Created by Google Brain Team
Released November 9, 2015