Deep Learning

Course Content	Course Hours	Course Fee	Register
What is Deep Learning? Section: 1 Artificial Neural Networks 1. Plan of attack 2. The Neuron 3. The Activation Function 4. How do Neural Networks work? 5. How do Neural Networks learn? 6. Gradient Descent 7. Stochastic Gradient Descent 8. Backpropagation 9. How to get the dataset 10. Business Problem Description 11. Installing Theano, Tensorflow and Keras 12. ANN in Python 13. ANN in R Section: 2 Convolutional Neural Networks 14. Plan of attack 15. What are convolutional neural networks? 16. Step 1 - Convolution Operation 17. Step 1(b) - ReLU Layer 18. Step 2 - Pooling 19. Step 3 - Flattening 20. Step 4 - Full Connection 21. Summary 22. Softmax & Cross-Entropy 23. How to get the dataset 24. CNN in Python 25. CNN in R Section: 3 Dimensionality Reduction Section: 4 Principal Component Analysis (PCA) Section: 5 Linear Discriminant Analysis (LDA) Section: 6 Kernel PCA Section: 7 Model Selection & Boosting Section: 8 Model Selection Section: 9 XGBoost	20 Hours	₹ 4200 | $70	Join now