Blog Post

Neural Network Architecture in Machine Learning

In the previous lesson, we understood how logistic regression works and how we can implement it.

logistic regression example-pic-1
In the previous lesson, we used logistic regression for the binary classification of dogs based on previously seen and learned data

In this lesson, we will learn about the neural network architecture in machine learning and understand the building blocks of a neural network, be introduced to different activation functions, understand the difference between shallow and deep neural networks, and become ready to use our software tools to develop a neural network.

neural network architecture machine learning
This lesson will teach us about neural network architecture in Machine Learning (ML).

Watch the video version of the 7th lesson:

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