A jupyter notebook is provided for in-depth explanation.
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Updated
Dec 4, 2017 - Jupyter Notebook
A jupyter notebook is provided for in-depth explanation.
Quick and dirty implementation of Residual Networks
Convolutional Neural Net implementation using pytorch for CS7GV1
resolving the trace network generation by using deep learning
Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.
A squeeze-and-excitation enabled ResNet for image classification
World's best Boerewors image classifier, built with ResNets and Transfer Learning.
An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.
Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper
This repository contains skin cancer lesion detection models. These are trained on a sequential and a custom ResNet model
Breast Cancer Detection through Mammograms
This repository contains the ipynb for a project on deep learning visual classification of food categories
Based on https://blog.csdn.net/sunqiande88/article/details/80100891, I made some modification.
Basic reference for Multi View Classification - mvcnn
FPL'19 Demo - Splitted Network on Collaborative PYNQ FPGAs
Bird Species Classification Using Transfer Learning
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