Lilly Tech Systems
CNN Architectures
Explore the evolution of convolutional neural networks from LeNet to modern EfficientNet and beyond.
Course Lessons
Follow these lessons in order for a complete understanding of cnn architectures.
1. CNN Fundamentals
Learn about cnn fundamentals in the context of cnn architectures.
2. LeNet and AlexNet
Learn about lenet and alexnet in the context of cnn architectures.
3. VGG and GoogLeNet
Learn about vgg and googlenet in the context of cnn architectures.
4. ResNet and Skip Connections
Learn about resnet and skip connections in the context of cnn architectures.
5. EfficientNet Architecture
Learn about efficientnet architecture in the context of cnn architectures.
6. Modern CNN Innovations
Learn about modern cnn innovations in the context of cnn architectures.
7. Choosing CNN Architecture
Learn about choosing cnn architecture in the context of cnn architectures.
What You'll Learn
By the end of this course, you will be able to:
Understand Core Concepts
Gain deep understanding of the principles and patterns that define cnn architectures.
Apply in Practice
Implement real-world solutions using the architectural patterns and code examples from each lesson.
Make Architecture Decisions
Evaluate trade-offs and choose the right approaches for your specific requirements and constraints.
Build Production Systems
Design and implement production-ready AI systems that are reliable, scalable, and maintainable.