Classifying objects into 10 classes using Convolutional and Residual Nets.
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Updated
Dec 23, 2016 - Python
Classifying objects into 10 classes using Convolutional and Residual Nets.
Transfer Learning using trained Inception v3 model.
Example of solving CIFAR-10 with Neptune.
Tensorflow project of cifar10 model with "stop & resume"
Testing Caffe for training a NN using the CIFAR-10 dataset
Variational Auto Encoder
A convolutional neural network trained on the CIFAR-10 dataset.
Investigating the different supervised learning models to classify the CIFAR 10 dataset
Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.
A web service that tries to determine the appropriate emoji for a given image
Projects for Rice Undergraduate Data Science Summer Program
CIFAR-10 IMAGE CLASSIFICATION WITH KERAS CONVOLUTIONAL NEURAL NETWORK TUTORIAL
Read and process CIFAR10 dataset, implement SVM and Softmax classifiers, train , and also tune up hyper parameters.
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