Variety of neural network architectures implemented for different datasets and scenarios, along with regularization techniques and hyperparameter tuning strategies.
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Updated
Apr 16, 2024 - Jupyter Notebook
Variety of neural network architectures implemented for different datasets and scenarios, along with regularization techniques and hyperparameter tuning strategies.
Train Basic Model on CIFAR10 Dataset - 🎨🖥️ Utilizes CIFAR-10 dataset with 60000 32x32 color images in 10 classes. Demonstrates loading using torchvision and training with pretrained models like ResNet18, AlexNet, VGG16, DenseNet161, and Inception. Notebook available for experimentation.
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