cifer10

This project implements a Multi-Layer Perceptron (MLP) for classifying images from the CIFAR-10 dataset. It includes data augmentation, feature extraction using a pre-trained ResNet18, and MLP training from scratch with backpropagation. The project is part of CS776 Computer Vision Assignment 1.

computer-vision mlp scratch-implementation cifer10 mlp-scratch-numpy

Updated Aug 23, 2025
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Gemmus / DeepLearning

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Introduction Course to Deep Learning using Google Colab.

deep-learning cnn mnist yolo coco mlp vgg16 resnet-50 google-colab mobilenetv3 cifer10

Updated Feb 18, 2023
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cserajdeep / cnn-and-cifer10

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Convolutional Neural Network implementation on CIFER10 dataset

python deep-learning pytorch cnn-classification cifer10

Updated Jun 9, 2021
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cserajdeep / stacked-racifer10net

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My own stacked CNN model architecture for CIFER10 data classification

python machine-learning deep-learning python3 pytorch ensemble-learning stacked-ensembles cifer10

Updated Jun 9, 2021
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swapnilp9819 / CNN-for-Enhanced-Image-Classification

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Implement a Convolutional Neural Network to classify CIFAR-10 dataset images, achieving up to 85.06% accuracy through optimized CNN architectures and advanced training techniques.

python cnn cifer10

Updated May 28, 2024
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