Recap of what is an image and a coloured image.
Learn and apply the concept of Fourier Transform
Filter Images using various Transform Methods
Learn different Deep Learning Techniques such as Convolutional Neural Networks, Multi-Layer Perceptron and Recurrent Neural Networks
Use basic Image Denoising Filters and apply Encoder-Decoders
You should have a basic understanding of AI and Machine Learning. It will also help to have some familiarity with Python, Google Colab and how to use Python Libraries.
Yes, you can! However, we recommend you start with the ‘Introduction to AI and Image Processing Course’ as it will give you all the skills you need to comfortably complete the intermediate course.
Computer with an Internet connection, and access to a Google account.
Learn the basics about images, data compression, classification and colour detection using Python for Machine Learning. Understand AI principles and ethics.
£75
Learn the basics about signals and statistics, and how to analyse, optimise and process signal data using Python for Machine Learning. Understand AI principles and ethics.
£75
Apply advanced techniques on signals to be able to clean the signal, forecast the new events, compress it and denoise it using Deep Learning Techniques
£120
