A comprehensive collection of Deep Learning models implemented in Python using TensorFlow and PyTorch. This repository covers Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, GRUs, Autoencoders, Transformers, Transfer Learning, and model evaluation with clean, well-documented code
What is the Shaahmir/Deep-Learning-Python GitHub project? Description: "A comprehensive collection of Deep Learning models implemented in Python using TensorFlow and PyTorch. This repository covers Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, GRUs, Autoencoders, Transformers, Transfer Learning, and model evaluation with clean, well-documented code". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard — paste it after the AI opens.
Clone via HTTPS
Clone via SSH
Download ZIP
Download main.zipReport bugs or request features on the Deep-Learning-Python issue tracker:
Open GitHub Issues