Exploring Adne Lecture 8

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  • Lecture
  • MIT 6.1200J Mathematics for Computer Science, Spring 2024 Instructor: Erik Demaine View the complete course: ...
  • Convolutional networks and image processing.
  • Optimizing training: Optimizers, initialization, learning rate, batch normalization. Model selection, Bias and Variance.
  • Lecture

In-Depth Information on Adne Lecture 8

Convolutional networks. Introduction to the Keras sequential model. Regularization methods for deep networks. Convolution Networks. Autoencoders.

Lecture

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