Course review: Diploma in Neural Networks in Python — Deep Learning for Beginners

I have spent the last couple of weeks studying neural networks with a free course sponsored by Alison. The course, Diploma in Neural Networks in Python — Deep Learning for Beginners, was very informative and I learned a fair bit. The course covered other topics too, such as an overview of the various libraries critical to Python, like pandas, numpy, seaborn, and statsmodels. In this blog post, therefore, I intend to discuss the concepts covered in the course.

Module 1 — Introduction to neural networks

Artificial neural networks

Artificial Neural Networks (ANNs) are a type of machine learning algorithm that are designed to mimic the structure and function of the human brain. ANNs are used for a wide range of applications such as image recognition, natural language processing, speech recognition, and more.

ANNs consist of layers of interconnected processing nodes, or neurons, which are organised into three types of layers: input layer, hidden layers, and output layer. The input layer receives the raw data, which is then processed through the hidden layers using a…