Graph Neural Networks - a perspective from the ground up
Neural Networks Part 6: Cross Entropy
Loss Functions - EXPLAINED!
Self-/Unsupervised GNN Training
133 - What are Loss functions in machine learning?
Adaptive Loss Function Design in Multitask Graph Neural Networks for Materials Discovery
Neural Networks From Scratch - Lec 23 - Regression Losses - Smooth L1 Loss and Huber Loss Functions
Enhancing Graph Neural Networks for Materials Discovery through Probability-Based Loss Function.
I Created A Graph Based Optimizer That Outperforms Adam!
154 - Understanding the training and validation loss curves
Tom Goldstein: "What do neural loss surfaces look like?"
Regularization in a Neural Network | Dealing with overfitting
Neural Networks 6 Computation Graphs and Backward Differentiation
Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]
An Introduction to Graph Neural Networks: Models and Applications
Deep Learning - 10.3 (Graph Neural Networks: Graph Convolution Networks)
Soledad Villar: "Graph neural networks for combinatorial optimization problems"
Graph Convolutional Networks (GCNs) made simple
Intro to graph neural networks (ML Tech Talks)
Recurrent Neural Networks (RNNs), Clearly Explained!!!