Week 1: Foundations of Convolutional Neural Networks

Week 2: Deep Convolutional Models: Case Studies

Week 3: Object Detection

Week 4: Special applications: Face Recognition & Neural Style Transfer

Useful references:

Sobel operator - Wikipedia

Deep Residual Learning for Image Recognition

deep-learning-models/resnet50.py at master · fchollet/deep-learning-models

References

Week 1:

• The Sequential model (TensorFlow Documentation)
• The Functional API (TensorFlow Documentation)

Week 2:

• Deep Residual Learning for Image Recognition (He, Zhang, Ren & Sun, 2015)
• deep-learning-models/resnet50.py/ (GitHub: fchollet)
• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications (Howard, Zhu, Chen, Kalenichenko, Wang, Weyand, Andreetto, & Adam, 2017)
• MobileNetV2: Inverted Residuals and Linear Bottlenecks (Sandler, Howard, Zhu, Zhmoginov &Chen, 2018)
• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (Tan & Le, 2019)

Week 3:

• You Only Look Once: Unified, Real-Time Object Detection (Redmon, Divvala, Girshick & Farhadi, 2015)