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

Implementation of "RaScaNet: Learning Tiny Models by Raster-Scanning Image" from CVPR 2021.

Stochastic Extragradient: General Analysis and Improved Rates

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

Homepage of paper: Paint Transformer: Feed Forward Neural Painting with Stroke Prediction, ICCV 2021.

The repository contain code for building compiler using puthon.

Code repository for the paper Computer Vision User Entity Behavior Analytics

《Towards High Fidelity Face Relighting with Realistic Shadows》(CVPR 2021)

Codebase for the paper titled "Continual learning with local module selection"

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity

这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。

The materials used in the SaxonJS tutorial presented at Declarative Amsterdam, 2021

Ascend your Jupyter Notebook usage

CCCL: Contrastive Cascade Graph Learning.

A best practice for tensorflow project template architecture.

Easy-to-use library to boost AI inference leveraging state-of-the-art optimization techniques.

Riemann Noise Injection With PyTorch

Code for Massive-scale Decoding for Text Generation using Lattices

The code of "Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer".

DeceFL: A Principled Decentralized Federated Learning Framework