Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras
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Updated
Sep 7, 2017 - Python
Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras
Keras and tensorflow implementation of the inception-resnetV2 model
Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (DD2424 Deep Learning in Science course at KTH 2017)
Attempt at Machine Learning Project to automatically add color to gray-scale images
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2
Chainer implementation of the paper "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning" (https://arxiv.org/abs/1602.07261)
This is an implementation of the CVPR 2017 paper - Deep Koalarization : Image Colorization using deep CNNs and Inception Resnet V2
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
Keras and tensorflow transfer learning, starting from the pre-trained inception_resnetV2 model
Image Style Recognition using Transfer Learning with Pre-trained ResNet
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Webcam face recognition using tensorflow and opencv
SimpleCNN and ResNet performance comparison
keras & Pytorch implemetation of deep learning models: fine-tuning approaches, dataset analysis, hyperparameter optimization, etc.
This is the companion repository for our paper iSPLInception: Redefining the State-of-the-Art for Human Activity Recognition which will be published in IEEE Access - 2021.
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