aayushmnit / Deep_learning_explorations
Licence: mit
Codes and experiments while learning and exploring deep learning for personal curiosity by doing online courses, personal projects and work.
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Deep_learning_explorations
A repository of codes and experiments while learning and exploring deep learning by online courses and work.
Contents
- Multi-Layer perceptron from scratch using numpy on MNIST dataset
- Multi-Layer perceptron using Tensorlfow on MNIST dataset
- Multi-Layer perceptron using FastAI & Pytorch on MNIST dataset
- Shallownet using FastAI on CIFAR10 dataset
- LeNet using FastAI on MNIST dataset
- MiniVggnet using FastAI on CIFAR10 dataset
- Multi-Label facial attributes classfication using FastAI and OpenCV
- Image_similarity_search using FastAI and Local semantic hashing
- Alexnet from scratch on Dogs vs. Cats dataset using Pytorch and FastAI
- MiniGoogLenet using FastAI on CIFAR10 dataset
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