In this post, we cover the essential elements required for training Neural Networks for an image classification problem. We will still treat the internal network architecture as a black box so that we ...
Before studying deep neural networks, we will cover the fundamental components of a simple (linear) neural network. We'll begin with the topic of linear regression. Since linear regression can be ...
In this post, we will introduce several new concepts associated with the general problem of classification involving more than two classes. This is sometimes referred to as multinomial regression or ...
In this post, we’re going to provide a 30,000-Foot view of neural networks that’s aimed at absolute beginners who are looking to enter the field of Machine Learning and Deep Learning. In this ...
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