Logistic Regression with a Single Neuron Model | Deep Learning Basics
In this lecture, we explore logistic regression. This is also called a Binary Classification problem. We use the logistic function, also called the sigmoid function as the activation function in a neuron.
We then train the neuron on a classification problem and see how it performs.
This lecture is part of the Deep Learning from Scratch Series.
This series is taught by Dr Anil Variyar, who has a PhD in Aeronautics and Astronautics from Stanford University.
#logisticregression #artificialintelligence #deeplearning #neuralnetworks #machinelearning #python
Relevant Previous Videos
Coding a Single Neuron Learning Model : • Coding a Single Neuron Learning Model in P...
Understanding BackPropogation : • How Backpropagation works | A visual step ...
Setting up Anaconda and Jupyter Notebooks : Setting up Python with Anaconda and Using Jupyter Notebooks | A Quick Start
Math Prerequisites
Basics of Derivatives : • Basics of Derivatives | A Review | Math fo...
What is Chain Rule : • What is Chain Rule | A Review | Math for AI