Day 6 – Classification project – building data set
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21 Days Masterclass, Topics we covered:
1. Introduction of deep learning
2. Neural Network training – single layer perceptron, multilayer perceptron
3. Activation Functions and types
4. Gradient Desent optimization
5. Matrix and loss or cost function
6. Classification project – building data set
7. Regression project concept in deep learning
8. Hyper parameter tuning
9. Convolution Neural Networks
10. Computer vision concept and overview
11. Implementation of CNN based image classifier
12. Yolo algorithm – object detection
13. RNN- Recurrent Neural Network
14. LSTM – Long short-term memory Networks
15. Gated Recurrent Units
16. GAN- Generative Adversarial networks
Project:
17. Face recognition using deep learning
18. Traffic sign classification using Deep learning
19. Car brand classification using deep learning
20. Gesture Volume control
21. Next word prediction using LSTM
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