6 docs tagged with "Deep Learning"

These three terms are often used interchangeably, but they refer to different concepts with varying levels of complexity and capability.

🧠 What is a Computation Graph?

What Is the Drivetrain Approach?

🟢 Forward Propagation (Forward Pass)

In machine learning, weights are crucial parameters that are learned during the training of a model, such as a neural network. They help the model make predictions by assigning importance to the inputs it receives. Let's break down the concept further:

Understanding Neural Networks, Weights, and Stochastic Gradient Descent