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1
What is machine learning?
2
Gradient descent
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Neural network
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logistic regression
5
Probability
6
Activation Function
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Error function
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NodeNeuron
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Non-linear regions
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Deep neural network
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the fundamentals of neural networks and deep learning in this 33-minute video tutorial. Learn about key concepts such as machine learning, gradient descent, logistic regression, probability, activation functions, and error functions. Discover how nodes (neurons) work and how they create non-linear regions. Gain insights into deep neural networks and their applications. Follow along with a step-by-step explanation of these complex topics, presented in a friendly and accessible manner. Build upon your knowledge from the Introduction to Machine Learning video, and delve deeper into the fascinating world of artificial intelligence.

A Friendly Introduction to Deep Learning and Neural Networks

Serrano.Academy
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