🗃️ Neural Network Basics
6 items
🗃️ Deep Learning Libraries
3 items
🗃️ Convolutional Neural Networks (CNNs)
4 items
🗃️ CNN Applications
4 items
🗃️ Recurrent Neural Networks (RNNs)
3 items
🗃️ Attention Mechanisms
3 items
📄️ Autoencoders
Understanding the Encoder-Decoder architecture used for dimensionality reduction and feature learning.
📄️ GANs
Understanding the competitive framework between Generators and Discriminators to create realistic synthetic data.