Neural Network Training Quiz
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ICS 471-Deep Learning slide 2 Where we are now.

Slide 2

ICS 471-Deep Learning slide 3 Where we are now.

Slide 3

ICS 471-Deep Learning slide 4 Where we are now.

Slide 4

ICS 471-Deep Learning slide 5 Where we are now.

<p>Slide 5</p> Signup and view all the answers

Mini-batch SGD Loop: 1. Sample a batch of data 2. Forward prop it through the graph (network), get loss 3. Backprop to calculate the gradients 4. Update the parameters using the gradient ICS 471-Deep Learning slide 7 Next: Training Neural Networks

<p>Slide 6</p> Signup and view all the answers

ICS 471-Deep Learning slide 6 Where we are now.

<p>Learning network parameters through optimization</p> Signup and view all the answers

ICS 471-Deep Learning slide 8 Overview 1. One time setup preprocessing, activation functions, weight initialization, regularization, gradient checking 2. Training dynamics ______ the learning process.

<p>babysitting</p> Signup and view all the answers

ICS 471-Deep Learning slide 6 Where we are now.

<p>Learning network parameters through [blank]</p> Signup and view all the answers

ICS 471-Deep Learning slide 8 Overview 1. One time setup preprocessing, ______, weight initialization, regularization, gradient checking 2. Training dynamics babysitting the learning process.

<p>activation functions</p> Signup and view all the answers

ICS 471-Deep Learning slide 8 Overview 1. One time setup preprocessing, activation functions, weight initialization, ______, gradient checking 2. Training dynamics babysitting the learning process.

<p>regularization</p> Signup and view all the answers

Study Notes

Deep Learning Process Overview

  • The process of deep learning involves a mini-batch SGD loop, which consists of:
    • Sampling a batch of data
    • Forward propagating the data through the network to get the loss
    • Backpropagating to calculate the gradients
    • Updating the parameters using the gradients

Training Neural Networks

  • One-time setup for training involves:
    • Preprocessing
    • Activation functions
    • Weight initialization
    • Regularization
    • Gradient checking
  • Training dynamics involves:
    • Babysitting the learning process

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Description

Test your knowledge on neural network training in this quiz for ICS 471-Deep Learning at King Fahd University of Petroleum and Minerals Resources. Explore topics covered in slides 2-4 and deepen your understanding of where we are now in the field of deep learning.

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