Deep Learning Basics

Let’s take a look at a few interview questions that cover fundamental deep learning concepts. To answer these questions, you should have a basic understanding of neural network activation functions and regularization. You will be challenged to implement activation functions and regularization techniques in Python, and may consider looking at the solution snippet to guide your implementation.

Implementing a custom neural network activation function

Implement a custom activation function called the Swish activation function in NumPy. Write a function that computes the Swish activation and its derivative, and demonstrate how it can be used in a simple neural network layer.

The Swish activation is defined as:

where σ(x) is the logistic sigmoid. The logistic sigmoid function is a mathematical function widely used in machine learning, especially in deep learning, to ...