nlintz / TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
☆6,009Updated last year
Alternatives and similar repositories for TensorFlow-Tutorials:
Users that are interested in TensorFlow-Tutorials are comparing it to the libraries listed below
- From the basics to slightly more interesting applications of Tensorflow☆5,646Updated 3 years ago
- Deep learning library featuring a higher-level API for TensorFlow.☆9,620Updated 10 months ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,247Updated last week
- Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning☆3,176Updated 3 years ago
- TensorFlow tutorials and best practices.☆8,619Updated 4 years ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,337Updated 4 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆4,451Updated 2 years ago
- Recurrent Neural Network - A curated list of resources dedicated to RNN☆6,117Updated 3 years ago
- fast.ai Courses☆5,642Updated 7 months ago
- Summaries and notes on Deep Learning research papers☆4,419Updated 7 years ago
- Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays…☆9,934Updated last year
- Learning to Learn in TensorFlow☆4,059Updated 3 years ago
- Evaluation of Deep Learning Frameworks☆2,046Updated 7 years ago
- Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.☆3,195Updated 5 years ago
- TensorFlow Tutorials☆2,604Updated 4 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,950Updated 8 years ago
- A list of popular github projects related to deep learning☆5,933Updated last year
- A curated list of deep learning resources for computer vision☆10,919Updated last year
- Intel® Nervana™ reference deep learning framework committed to best performance on all hardware