Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...

Variational quantum algorithms (VQAs) have attracted a lot of attention from the quantum computing community for the last few years. Their hybrid quantum-classical nature with relatively shallow ...

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 ...

ACM, the Association for Computing Machinery, today announced that Chelsea Finn receives the 2018 ACM Doctoral Dissertation Award for her dissertation, "Learning to Learn with Gradients." In her ...