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.

Syllabus

What is machine learning?
Gradient descent
Neural network
logistic regression
Probability
Activation Function
Error function
NodeNeuron
Non-linear regions
Deep neural network