Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
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Updated
Oct 9, 2024 - Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A simple python program which copy any onion(DEEPNET or DARKNET)site code.
The goal of this project is to design and train deep convolutional neural networks using PyTorch. I will design a deep net architecture to classify (small) images into 100 categories and evaluate the performance of the architecture by uploading the predictions to the Kaggle competition.
The primary objective of this project is to detect fraud in a financial system as efficient as possible using AI.
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