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Enigmatic Autoencoders for Dimensionality Reduction

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Overview

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In this course, explore how autoencoders can compress and reconstruct data, offering insights into unsupervised learning for dimensionality reduction.

Syllabus

  • Lesson 1: Building Neural Networks with Keras: An Introduction
  • Lesson 2: Understanding Forward Propagation in Neural Networks
  • Lesson 3: Understanding and Implementing Autoencoders with Keras for Dimensionality Reduction
  • Lesson 4: Fine-Tuning Autoencoders: Mastering Hyperparameters
  • Lesson 5: Understanding Optimizers in Autoencoders

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