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autoencoder

Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder

classifier

multiclass classifier

classifier-1

A simple image classifier in Matlab

convolutionalneuralnet

This repository contains code for implementation of Convolutional Neural Network(CNN). We used the same features that we learned on 8X8 patches sampled from images from the STL-10 dataset in linear decoder exercise. The CNN has been trained on reduced STL-10 dataset. This dataset comprises 64X64 images from 4 classes (airplane, car, cat, dog). You can download the dataset from http://deeplearning.stanford.edu/wiki/index.php/Exercise:Convolution_and_Pooling The entire code has been written in Matlab. For more information refer to above link.

dfl-cnn

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

dnn-topology

Computing topological cavities of deep neural networks

dual_modal_faster_rcnn

faster-rcnn_tf

Faster-RCNN in Tensorflow

fastmaskrcnn

Mask RCNN in TensorFlow

find_head

fused-model

gitskills

google-research

Google Research

kl-loss

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

lineardecoder

Linear decoder exercise from http://ufldl.stanford.edu/

mnist_numberrecognition_softmax

基于 Softmax 回归对 MNIST 数据集的数字识别

models

Models and examples built with TensorFlow

multimodal

myclassifier

mygit

neuralnetwork_python

person_subclass

refinedet

Single-Shot Refinement Neural Network for Object Detection

rgbd

stackedae

stackgan-v2

tensorflow-yolo

tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)

tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection

ufldl_softmaxregression

This model generalizes logistic regression to classification problems where the class label y can take on more than two possible values.

ufldl_softmaxregression-1

ufldl练习四代码