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

DSTC10 Track 2 - Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations

Facial detection, landmark tracking and expression transfer library for Windows, Linux and Mac

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

Black-Box-Tuning - Black-Box Tuning for Language-Model-as-a-Service

Source code of our BMVC 2021 paper: AniFormer: Data-driven 3D Animation with Transformer

[ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision

Create animations for the optimization trajectory of neural nets

PyTorch Implementation of Sparse DETR

A set of tools for converting a darknet dataset to COCO format working with YOLOX

Learning 3D Part Assembly from a Single Image

Optical machine for senses sensing using speckle and deep learning

All of the figures and notebooks for my deep learning book, for free!

This repository contains code accompanying the paper "An End-to-End Chinese Text Normalization Model based on Rule-Guided Flat-Lattice Transformer"

The source code for 'Noisy-Labeled NER with Confidence Estimation' accepted by NAACL 2021

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

This code is an implementation for Singing TTS.

Dictionary Learning with Uniform Sparse Representations for Anomaly Detection

:fire: 2D and 3D Face alignment library build using pytorch

An automated algorithm to extract the linear blend skinning (LBS) from a set of example poses

A semismooth Newton method for elliptic PDE-constrained optimization