Introduction to Feedforward Neural Network
Date and Time
2021-06-18 10:00 오전
22319 (online and off-line)
Meseret A. Tadese
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.
권한이 없습니다. 로그인 부탁드립니다. You don't have permission to access. Please login.
Has this presenter uploaded material to Lab Synology?
File Station > Seminar Materials > Lab Seminar Materials