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4.deep Learning Assignment4 Solution PDF PDF

12 Pages·2019·English
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by ['vidhya ds']| 2019| 12 pages| English

About 4.deep Learning Assignment4 Solution PDF

The document describes implementing the Adam optimization algorithm on a toy 2D dataset to minimize a squared error loss function. It provides code to calculate the loss, gradients, and Adam update rule. Running the Adam algorithm on the dataset with provided hyperparameters (learning rate of 0.01, betas of 0.9 and 0.99, and 100 iterations) results in a final loss value of 0.058.

Detailed Information

Author:['vidhya ds']
Publication Year:2019
Pages:12
Language:English
Format:PDF
Price:FREE
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