Introduction to Feedforward Neural Network

Date and Time

2021-06-18 10:00 오전

Place

22319 (online and off-line)

Speaker(s)

Meseret A. Tadese

Overview

In this seminar,  we will cover some key concepts around feed-forward neural networks that serve as a foundation for various topics within deep learning. We will start by looking at the structure of a neural network, followed by how they are trained and used for making predictions. we will also take a brief look at the loss functions that should be used in different settings, the activation functions used within a neuron, and the different types of optimizers that could be used for training. 

YouTube

Reference(s)

Seminar Material

Has this presenter uploaded material to Lab Synology?
Yes.

File Station > Seminar Materials > Lab Seminar Materials

Next Speaker(s)

Go to Top