MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
-
Updated
Dec 24, 2021 - Python
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
Use CNN to classify traffic signs
This Repository contains TensorFlow implementation of different Image Segmentation Architecture on different types of datasets.
Chest X-Ray Image classification using PyTorch.
deeplearning.ai Tensorflow advance techniques specialization
This is my first personal project about training a deep learning algorithm for road traffic signs recognition.
Official PyTorch and CVXPY implementation of Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
In this project I have designed a Traffic Sign Classifier, which classifies German Traffic Signs.
CNN model architecture implementations in Keras
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
Research project on trafiic sign recognition using deep learning and computer vision.
Building a network to predict steering angles from images
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
Udacity Self Driving Car Nanodegree - Behavioral Cloning
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
Identify traffic sign images through Supervised Classification via Deep Learning and Computer Vision using Python, Tensorflow, Jupyter and Anaconda in AWS Cloud.
Udacity CarND Behavioral Cloning Project, Python, Tensorflow, Keras
Add a description, image, and links to the model-architecture topic page so that developers can more easily learn about it.
To associate your repository with the model-architecture topic, visit your repo's landing page and select "manage topics."