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Deep Learning in Computer Vision

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Deep Learning in Computer Vision

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Deep Learning in Computer Vision Applications
1. Basics on Convolutional Neural Network
2. Otimization Methods (Momentum, AdaGrad, RMSProp, Adam, etc)
3. Semantic Segmentation
4. Class Activation Map
5. Object Detection
6. Recurrent Neural Network
7. Visual Question and Answering
8. Word2Vec (Word embedding)
9. Image Captioning

Deep Learning in Computer Vision Applications
1. Basics on Convolutional Neural Network
2. Otimization Methods (Momentum, AdaGrad, RMSProp, Adam, etc)
3. Semantic Segmentation
4. Class Activation Map
5. Object Detection
6. Recurrent Neural Network
7. Visual Question and Answering
8. Word2Vec (Word embedding)
9. Image Captioning

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