Gesture Recognition by CNN created using Networks Library created by me.
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Updated
Oct 17, 2017 - Python
Gesture Recognition by CNN created using Networks Library created by me.
Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.
Super Resolution's the images by 3x using CNN
Identifying text in images in different fonts using deep neural network techniques.
A classifier to differentiate between Cat and Non-Cat Images
Using MNSIT as a training dataset, this model is trained to predict the handwritten digits.
Convolutional Neural Network with just Numpy and no other MLLibs
Feed Forward Neural Network to classify the FB post likes in classes of low likes or moderate likes or high likes, back propagtion is implemented with decay learning rate method
Simple MATLAB toolbox for deep learning network: Version 1.0.3
rede neural totalmente conectada, utilizando mini-batch gradient descent e softmax para classificação no dataset MNIST
Built MLP with ReLU and Adam optimization with 2 layers, 3 layers and 5 layers and observed how it works.
Our custom AI Pipeline on image classification for 2019 Chung-ang-University-hackathon.
The objective of this project is to identify the fraudulent transactions happening in E-Commerce industry using deep learning.
Neural Network to predict which wearable is shown from the Fashion MNIST dataset using a single hidden layer
Neural Network from scratch without any machine learning libraries
Backward pass of ReLU activation function for a neural network.
Simple DNN code, adapted from Nielsen
Channelwise Partial Convolutions for hardware aware applications
Sequential Convolutional Neural Network for handwritten digits recognition trained on MNIST dataset using keras API
Traffic signal identification using Keras LeNet architecture. Identify 43 different classes of images with over 90% accuracy.
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