About the Book
The goal of any Convolution Neural Network is to learn higher-order features from data representation, achieving that via convolutions. This type of Neural Nets is very good in dealing with tensor data such as images and is well suited to object recognition with consistently top image classification competitions. In this part, I will try to teach you the convolution neural network on weekend.
An online and free version of this part can be found here.
You can check the Scratching Linear Algebra in Weekend here.
Also, do not forget to check the following weekends:
Introduction to Data
Data Visualization and Understanding
Data Cleaning and Preprocessing Techniques.
Data Exploration and Analysis.
Data Exploration, It's all about Data Wrangling.
The Art of Data Visualization.
Rules of data visualization.
Math for Machine Learning.
Support Vector Machines.
Introduction to Deep Learning.
About the Author
Hisham Elamir is a data scientist with expertise in machine learning, deep learning, and statistics. He currently lives and works in Cairo, Egypt. In his work projects, he faces challenges ranging from natural language processing (NLP), behavioral analysis, and machine learning to distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.