ResNet trained on SAT dataset.
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Updated
Apr 19, 2017 - Python
ResNet trained on SAT dataset.
Replicating Visual System with Machine
API to modify existing caffe nets for transfer learning
Term 2 Project 1 Dog Breed Classifier and human face detector using ImageNet, superhuman CNNs, and Haar Cascades
Simple classifier in your browser to predict dog breeds using Flask and Keras/Tensorflow.
Image and text classification using Keras in TensorFlow 1.2
Image classification of wildflowers using deep residual learning and convolutional neural nets
In this project, I will build a pipeline to process real-world, user-supplied images. Given an image of a dog, this algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
Simple shoes classification with ResNet50 in Keras for Deepest Hackaton Challenge
Image recognition iOS app with Apple’s CoreML and Vision APIs
Download the dataset from here: https://www.kaggle.com/alexattia/the-simpsons-characters-dataset/data
An algorithm that facilitates communication between a speech-impaired person and someone who doesn't understand sign language using Residual networks
ImageNet pre-trained models with batch normalization for the Caffe framework
Identify dog breeds using Convolutional Neural Network.
Implementing and comparing performance of various deep learning models on CIFAR-10 dataset
This is an experimental code to train a ResNet-50 made entirely in Tensorflow on Dogs-vs-Cats-Redux
Swift app running apple provided Resnet 50 on back camera of iOS device with the apple provided coreml models and coreml template
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