TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
TranslatedDeep Learning Tutorial, excellent articles
:satellite: Simple and ready-to-use tutorials for TensorFlow
Your new Mentor for Data Science E-Learning.
Natural Language Processing Tutorial for Deep Learning Researchers
Learn ML engineering for free in 4 months! Register here 👇🏼
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow Tutorials with YouTube Videos
TensorFlow examples
A course in reinforcement learning in the wild
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
TensorFlow Tutorials
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
This repo contains materials for use in a TensorFlow workshop.
The codes I made while I practiced various TensorFlow examples
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.