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Convolutional Neural Networks

Image classification, object detection, CNN architectures.

Course Duration: 10 hours​

What You'll Learn​

  • Convolution operations
  • Pooling layers
  • CNN architectures
  • Transfer learning
  • Image classification
  • Object detection basics

Prerequisites​

  • Deep Learning Fundamentals
  • TensorFlow or PyTorch

Course Modules​

  1. Introduction to CNNs
  2. Convolution Operations
  3. Padding and Stride
  4. Pooling Layers
  5. Classic Architectures (LeNet, AlexNet)
  6. VGG and ResNet
  7. Inception and MobileNet
  8. Transfer Learning
  9. Fine-tuning Pre-trained Models
  10. Image Classification Project
  11. Data Augmentation
  12. Visualizing CNN Features

Architectures Covered​

  • LeNet-5
  • AlexNet
  • VGG16/19
  • ResNet
  • Inception
  • MobileNet
  • EfficientNet