Future of Artificial Intelligence
Sourabh Somani
Understanding gradient descent algorithm used in Neural Networks (deep learning)
Vinay Kumar
What is Machine Learning? Machine Learning is closely related to Statistics and Artificial Intelligence. Machine Learning is about using certain algorithms to learn from data, get insights from it ...
In this video, I will tell you about Logistic Regression, Categorical variable, the Logistic Function. Also, check how Logistic/Sigmoid functions works using Python.
Common Activation Functions used in neural networks - Sigmoid / Logistic function , Softmax function, ReLU (Rectified Linear Units), identity, hyperbolic tangent.
Linear Regression Theory for Machine Learning. Learn about sum of squared error (SSE), Ordinary Least Squares method, slope intercept form of a line.
Deep Learning and Neural Networks introduction. First Neuron Model explanation. Working of Neurons or Nerve cells.