TensorFlow Tutorials

You can find python source code under the python directory, and associated notebooks under notebooks.

	Source code	Description
1	basics.py	Setup with tensorflow and graph computation.
2	linear_regression.py	Performing regression with a single factor and bias.
3	polynomial_regression.py	Performing regression using polynomial factors.
4	logistic_regression.py	Performing logistic regression using a single layer neural network.
5	basic_convnet.py	Building a deep convolutional neural network.
6	modern_convnet.py	Building a deep convolutional neural network with batch normalization and leaky rectifiers.
7	autoencoder.py	Building a deep autoencoder with tied weights.
8	denoising_autoencoder.py	Building a deep denoising autoencoder which corrupts the input.
9	convolutional_autoencoder.py	Building a deep convolutional autoencoder.
10	residual_network.py	Building a deep residual network.
11	variational_autoencoder.py	Building an autoencoder with a variational encoding.

Installation Guides

For Ubuntu users using python3.4+ w/ CUDA 7.5 and cuDNN 7.0, you can find compiled wheels under the wheels directory. Use pip3 install tensorflow-0.8.0rc0-py3-none-any.whl to install, e.g. and be sure to add: export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64" to your .bashrc. Note, this still requires you to install CUDA 7.5 and cuDNN 7.0 under /usr/local/cuda.

Resources

Author

Parag K. Mital, Jan. 2016.

http://pkmital.com

License

See LICENSE.md

From the basics to slightly more interesting applications of Tensorflow

Related tags

Overview

TensorFlow Tutorials

Installation Guides

Resources

Author

License

Owner

Parag K Mital

Extremely easy multi instancing software for minecraft speedrunning.

Cookiecutter PyTorch Lightning

Transferable Unrestricted Attacks, which won 1st place in CVPR’21 Security AI Challenger: Unrestricted Adversarial Attacks on ImageNet.

Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization

Attention-driven Robot Manipulation (ARM) which includes Q-attention

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

Bi-level feature alignment for versatile image translation and manipulation (Under submission of TPAMI)

The code of paper 'Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection'

A nutritional label for food for thought.

Pytorch implementation of Learning with Opponent-Learning Awareness

GNN-based Recommendation Benchma

Official implementation of the NeurIPS 2021 paper Online Learning Of Neural Computations From Sparse Temporal Feedback

ByteTrack超详细教程！训练自己的数据集&&摄像头实时检测跟踪

TEDSummary is a speech summary corpus. It includes TED talks subtitle (Document), Title-Detail (Summary), speaker name (Meta info), MP4 URL, and utterance id

This is the code used in the paper "Entity Embeddings of Categorical Variables".

Converts geometry node attributes to built-in attributes

Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.

Multi-Stage Progressive Image Restoration

Code for the preprint "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

A high-level Python library for Quantum Natural Language Processing