a mnist dataset for object detection

This repository is about MobileNet in Tensorflow 2.

This repository is about MobileNet in Tensorflow 2.

This repository includes ResNet18, ResNet34, ResNet50, ResNet101, ResNet152 in Tensorflow 2.

The repository includes the implementation of VGG11, VGG13, VGG16, VGG19, AlexNet, ZFNet, LeNet,SqueezeNet, SqueezeNetv2, SqueezeNetv3, MobileNet and MobileNetv2 in Tensorflow 2.

This repository is about MobileNetv2 in Tensorflow 2.

This repository is about SqueezeNet, SqueezeNetv2, SqueezeNetv3 in Tensorflow 2.

The repository includes the implementation of VGG11, VGG13, VGG16 and VGG19 in Tensorflow 2.

This repository is about ZFNet in Tensorflow 2.

This repository is about AlexNet in Tensorflow 2 .

This repository is about LeNet in Tensorflow 2.

I created a simple regression model in tensorflow 2 that can deal with the datasets about wine quality and real estate.

Implementation of ZFNet in Tensorflow 2

Implementation of LeNet in Tensorflow 2

Implementation of AlexNet in Tensorflow 2

Implementation of VGG11, VGG13, VGG16 and VGG19 in Tensorflow 2.

MNIST Classifier ,CIFAR Classifier ,FASHION Classifier ,FLOWERS Classifier ,CAT_DOG Classifier

This is a collection of simple models in tensorflow 2.0.

Perceptron algorithm can be used to classify data. First, you need to make a model, then use the model to train part of data. Next, you can evaluate the loss and accuracy. If the result is not good…

All of the implemented algorithms can be used to find the minimum of 2D function.

All of the implemented algorithms can be used to find the minimum of 2D function.

All of the implemented algorithms can be used to find the minimum of 2D function.

All of the implemented algorithms can be used to find the minimum of 3D function.

All of the implemented algorithms can be used to find the minimum of 3D function.

All of the implemented algorithms can be used to classify data sets.

A Collection of GAN models in Tensorflow

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific w…

a collection of variational autoencoders

Collection of autoencoder models in Tensorflow

very simple product categorization model