Deep Learning is a subset of machine learning that involves neural networks with multiple layers (deep neural networks). It is designed to automatically learn hierarchical representations of data through the composition of increasingly complex features.

Deep Learning vs. Machine Learning:

Depth of Representation: Deep Learning involves deep neural networks with multiple layers, allowing it to learn intricate features automatically.
Feature Engineering: Deep Learning often eliminates the need for manual feature engineering as it learns hierarchical representations.
Task Complexity: While both are used for various tasks, Deep Learning excels in complex tasks like image and speech recognition.
Data Requirements: Deep Learning models typically require more data for training.

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⌚Time Stamps⌚

0:00 - Intro
1:52 - Deep Learning Definition 1
13:17 - Deep Learning Definition 2
20:00 - Deep Learning Vs Machine Learning
34:45 - Factors Behind Deep Learning's Success
1:06:00 - Outro