GitHub / VyjayanthiPolapragada / Image_Classifier_CNN_Data_Augmentation
A deep learning project using Convolutional Neural Networks (CNNs) to classify CIFAR-10 images. The model leverages data augmentation, batch normalization, and ReLU activation to improve performance and generalization. Includes training and evaluation scripts for multi-class image classification.
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 79.1 KB
Dependencies parsed at: Pending
Created at: 12 days ago
Updated at: 12 days ago
Pushed at: 12 days ago
Last synced at: 12 days ago
Topics: adam-optimizer, convolutional-neural-networks, data-augmentation, deep-learning, image-classification, jupyter-notebook, neural-networks, numpy, optimizer, pandas, python, pytorch, relu-layer