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Pesquisar episódios anteriores de Deep Learning.

OUTROS EPISÓDIOS NESTE PODCAST

<p>Deep Learning - Regularization Part 2</p> <p>This video discusses classical regularization techniques such as early stopping using a validation set, augmentation, and maximum a-posteriori methods that expand the loss function using a regularization term.</p> <p>Vi…
<p>Deep Learning - Regularization Part 5</p> <p>This video discusses multi-task learning.</p> <p>Video References:<br /> <a href="https://www.youtube.com/channel/UCSHZKyawb77ixDdsGog4iWA">Lex Fridman&#39;s Channel</a></p> <p>Further…
<p>Deep Learning - Regularization Part 3</p> <p>This video discusses normalization such as batch normalization and self normalizing units and explains the concepts of drop-out and drop-connect</p> <p>Video References:<br /> <a href="https://www.youtube.com/c…
<p>Deep Learning - Regularization Part 4</p> <p>This video discusses initialization techniques and transfer learning.</p> <p>Video References:<br /> <a href="https://www.youtube.com/channel/UCSHZKyawb77ixDdsGog4iWA">Lex Fridman&#39;s Channel</a>…
<p>Deep Learning - Common Practices Part 1</p> <p>This video discusses the use of validation data and how to choose optimizers, monitor weights, and set learning rates including their annealing.</p> <p>Video References:<br /> <a href="https://www.youtube.com…
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