Densely-Connected-Convolutional-Networks
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Updated
Feb 27, 2019 - Python
Densely-Connected-Convolutional-Networks
Built an Image Classification Model for Classifying hand gestures on Keras
my first tutorial on educoder
Feature extraction using Keras with the VGG, Inception and ResNet architectures
Convolutional Networks Training and Logits Saving
Deep Learning implementations using PyTorch
⚡️ A framework that investigates the scaling limit of ResNets and compares it to Neural ODEs. Tested on synthetic and standardized datasets. 📈
Fall 2021 Introduction to Deep Learning - Homework 2 Part 2 (face classification, face verification)
Pneumonia Chest X-ray Image Classification with deep learning
🐕 A Deep Learning multi-class classification project using ResNet family and ImageWoof dataset. [WIP]
Tensorflow 2 implementations of ResNet-18, ResNet-34, ResNet-50, ResNet-101, and ResNet-152 from Deep Residual Learning for Image Recognition by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun (2015)
Spatiotemporal encoder-decoder networks with attention for remote photoplethysmography (rPPG)
UniTN ML project 2021-22. Convolutional Neural Network used to extract features from images and perform images similarity.
Images to Classify Defective and Non-Defective Railway Track
Chainer implementation of the paper "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning" (https://arxiv.org/abs/1602.07261)
Doodle recognition using an ensemble of RNN and CNN.
Old models from Caffe converted to PyTorch
A LEGO-style PyTorch-based Deep Learning Library for ConvNets Modeling
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