Handwriting digit recognition using keras.Conv2D and MNIST database.
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Updated
Nov 6, 2019 - Python
Handwriting digit recognition using keras.Conv2D and MNIST database.
Image Classification with 2D Convolutions, Deeplearning
• Developed a Keras model for classification and a Flutter Mobile App for users to detect pox. • Submitted for International Journal Elsevier.
Reinforcement Learning with Actor-Critic to play Breakout-v4 (Atari) from OpenAI Gym
This PyTorch-based project implements a deep neural network for multi-class classification of fashion items. The dataset consists of images categorized into three classes: glasses vs. sunglasses, shoes, and trousers vs. jeans.
A FAST pure numpy based 1D, 2D, even n-dimensional convolution library.
This code uses the pyTorch Conv2D modules to make the PIV algorithms work faster on GPU
2D Convolutional Recurrent Neural Networks implemented in PyTorch
Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
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