Overview
Dive into the world of Convolutional Neural Networks (CNNs) with this beginner-friendly course. Explore the fundamentals of supervised learning, model training, and neural networks before delving into the specifics of CNNs. Learn how these powerful deep learning tools excel in image classification and other applications. Follow along with hands-on coding examples, from data acquisition to neural network implementation and optimization. Access provided resources, including Google Colab notebooks, presentation slides, and the Food 101 dataset, to enhance your learning experience. Gain practical skills in image processing and deep learning techniques, setting a solid foundation for further exploration in the field of artificial intelligence.
Syllabus
⌨️ Intro
⌨️ Supervised Learning
⌨️ Training a Model
⌨️ Neural Nets
⌨️ Convolutional Neural Nets
⌨️ Coding Example - Getting Data
⌨️ Coding Example - Neural Net Implementation
⌨️ Coding Example - Improvements
Taught by
freeCodeCamp.org