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Convolutional Neural Networks: A Crash Course
Last Updated: December 10, 2025
Ashish Pratap Singh
9 min read
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Convolutional Neural Networks: A Crash Course
What is a CNN?
The Building Blocks
Convolution: The Core Operation
Pooling: Downsampling
Activation Functions
Batch Normalization
Putting It Together: A Simple CNN
Feature Hierarchy
Receptive Field
Common CNN Architectures
Depthwise Separable Convolutions
1x1 Convolutions
Data Augmentation
Transfer Learning
Common CNN Tasks
CNN vs Vision Transformer
Training Tips
Key Takeaways
References
Summary
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