TensorFlow · Tutorials

Tutorials

• aymericdamien/TensorFlow-Examples on GitHub, opens in a new tab

  43.7Kstars

  TensorFlow tutorials and code examples for beginners

  Jupyter Notebook·Other·slowing·2 years ago

• Hvass-Labs/TensorFlow-Tutorials on GitHub, opens in a new tab

  9.3Kstars

  These tutorials are intended for beginners in Deep Learning and TensorFlow with well-documented code and YouTube videos.

  Jupyter Notebook·MIT License·dormant·6 years ago

• vahidk/EffectiveTensorflow on GitHub, opens in a new tab

  8.6Kstars

  TensorFlow howtos and best practices. Covers the basics as well as advanced topics.

  dormant·6 years ago

• nlintz/TensorFlow-Tutorials on GitHub, opens in a new tab

  6Kstars

  Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano

  Jupyter Notebook·slowing·3 years ago

• pkmital/tensorflow_tutorials on GitHub, opens in a new tab

  5.7Kstars

  From the basics to slightly more interesting applications of TensorFlow

  Jupyter Notebook·Other·dormant·5 years ago

• astorfi/TensorFlow-World on GitHub, opens in a new tab

  4.5Kstars

  Concise and ready-to-use TensorFlow tutorials with detailed documentation are provided.

  Python·MIT License·dormant·6 years ago

• guillaume-chevalier/LSTM-Human-Activity-Recognition on GitHub, opens in a new tab

  3.5Kstars

  Recurrent Neural Network classification in TensorFlow with LSTM on cellphone sensor data

  Jupyter Notebook·MIT License·dormant·4 years ago

• sjchoi86/Tensorflow-101 on GitHub, opens in a new tab

  2.6Kstars

  TensorFlow tutorials written in Python with Jupyter Notebook

  Jupyter Notebook·MIT License·dormant·6 years ago

• samjabrahams/tensorflow-on-raspberry-pi on GitHub, opens in a new tab

  2.3Kstars

  TensorFlow compiled and running properly on the Raspberry Pi

  Python·Other·dormant·8 years ago

• guillaume-chevalier/seq2seq-signal-prediction on GitHub, opens in a new tab

  1.1Kstars

  Learn to use a seq2seq model on simple datasets as an introduction to the vast array of possibilities that this architecture offers

  Jupyter Notebook·Apache License 2.0·dormant·3 years ago

• terryum/TensorFlow_Exercises on GitHub, opens in a new tab

  611stars

  Re-create the codes from other TensorFlow examples

  Jupyter Notebook·dormant·7 years ago

• Mazecreator/TensorFlow-SIRDS on GitHub, opens in a new tab

  6stars

  SIRDS is a means to present 3D data in a 2D image. It allows for scientific data display of a waterfall type plot with no hidden lines due to perspective.

  Jupyter Notebook·Apache License 2.0·dormant·6 years ago