Which of the following steps will correctly implement stochastic gradient descent with a batch size of 1? 1) Compute the deltas at the output layer. 2) Go back to the second step and iterate until you find the best weights of the network. 3) Pass an input through the network and compute the values at the output layer 4) Initialize the weights randomly. 5) Change the weights, and pass the deltas backwards to the next layer, continue until all weights are changed. 6) Pass the deltas backwards one layer, and change the weights to the layer above, continue until all weights are changed.

Which of the following steps will correctly implement stochastic gradient descent with a batch size of 1? 1) Compute the deltas at the output layer. 2) Go back to the second step and iterate until you find the best weights of the network. 3) Pass an input through the network and compute the values at the output layer 4) Initialize the weights randomly. 5) Change the weights, and pass the deltas backwards to the next layer, continue until all weights are changed. 6) Pass the deltas backwards one layer, and change the weights to the layer above, continue until all weights are changed.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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