Understand what activation functions are and why they’re essential in deep learning! This beginner-friendly explanation ...

Combinatorial generalization—the ability to understand and produce novel combinations of already familiar elements—is considered to be a core capacity of the human mind and a major challenge to neural ...

Neural networks are commonly used today to analyze complex data -- for instance to find clues to illnesses in genetic information. Ultimately, though, no one knows how these networks actually work ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...