Terms from Convolution Output Size to Natural Language Processing Vectorization Methods Asked in the 2nd G-Certification Mock Exam

Source: Yoshitaka Tomiyama Published: 2020-03-04 / 44 minutes / 24,000 views Scope: The second in a series of explanations ...
BIOENGINEER

Light-Powered Learning: Chip Trains Itself With Physical Gradient Descent

Researchers have demonstrated a photonic chip that trains itself on the hardware using on-chip holography to compute physical ...
Wired

Computer Scientists Find a Key Research Algorithm's Limits

Many aspects of modern applied research rely on a crucial algorithm called gradient descent. This is a procedure generally used for finding the largest or smallest values of a particular mathematical ...
BIOENGINEER

Evolutionary Algorithm Designs and Trains Neural Networks Simultaneously, Beating Classic Methods

IMODE, an improved multi-operator differential evolution algorithm that simultaneously optimizes the architecture and parameters of feedforward neural networks, achieving ...
quantamagazine.org

Computer Scientists Discover Limits of Major Research Algorithm

The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult computational problem. Many aspects of modern applied research ...
InfoWorld

Gradient descent in Java

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 ...