“I would describe this course as a transformative experience because I now reinforced my belief that AI and Machine Learning are the fields that I am really interested in.”
Dostonbek
Welcome! 🌞
What to expect in this course 🤓
Let's get to know you📝
Chapter Introduction ⛷️
Fundamentals 🛠️
Periodic Functions⏰
Series 🐢🏃♂️
Sines and Cosines〰️
Fourier Transform 💫
Coding with Google Colab😇
Coding Challenge 🚀
Quiz Activity - From Figures to Numbers 🧩
Chapter Survey - From Figures To Numbers🌟
Chapter Introduction⛷️
What is Noise?😵
Noise Removal Overview⚡
Variation 👀
Applying Total Variation🎯
Coding Challenge 🚀
Quiz Activity - Image Denoising🧩
Chapter Survey - Image Denoising🌟
Chapter Introduction ⛷️
Introduction to Deep Learning🔥
Neural Networks🧠
Deep Learning Parameters🎂
Feed Forward Neural Network💡
Encoder - Decoder🪂
Coding Challenge 🚀
Quiz Activity - Deep Learning for Image Processing🧩
Chapter Survey - Deep Learning for Image Processing🌟
Chapter Introduction⛷️
Convolutional Neural Networks 💭
Operations used in the Neural Network🤩
Final Steps 📌
Coding Challenge🚀
Quiz Activity - Image Classification🧩
Chapter Survey - Image Classification🌟
Extra Resources 😎
Congrats from us! 🤩
Tell us about your experience 🙏
COURSE OVERVIEW
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
MASTER AI SKILLS
Deep learning is revolutionising AI and big data analysis.
It can solve complex problems – even ones that seemed impossible just a few years ago, and has great potential to impact most industries. It’s no wonder, deep learning techniques have led to major breakthroughs in computer vision.
You'll understand image labelling, denoising and classification. You'll also learn the basics of Convolutional Neural Networks (CNNs) and how they can be used to perform these tasks.
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.
£24.99
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.
£24.99
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
£24.99
