Getting Started With Deep Learning: Working With Data: Gradient Descent
Difficulty: Beginner
Duration: 1 minute and 22 seconds
Students: 1,621
Rating: 4.7/5
Learn about the importance of gradient descent and backpropagation, under the umbrella of Data and Machine Learning, from Cloud Academy.
From the internals of a neural net to solving problems with neural networks to understanding how they work internally, this lesson expertly covers the essentials needed to succeed in machine learning.
Learning Objective
- Understand the importance of gradient descent and backpropagation
- Be able to build your own neural network by the end of the lesson
Prerequisites
- It is recommended to complete the Introduction to Data and Machine Learning lesson before starting.
Covered Topics
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This content is developed in partnership with Catalit
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