Day #52 - Deep Learning Class #1 Notes

AI - Reverse Engineering the brain (Curated Knowledge)
ML - Machine Learning is subset of AI. Teaching Machine to Learn

Deep Learning - Rebirth of Neural Networks

• Multiple layer of neurons
• Directed Graph
• First Layer is input layer
• Last Layer is output layer
• Intermediate layer is hidden Layer
• Deep Learning is inspired by human brain
• In Deep Learning features are learnt
• Gradient Descent - Process of making updates in NN
• Neural Networks is discriminative approach
• Neurons in neural networks end up in becoming feature selectors

Discriminative Classifiers - Logistics, SVM (uses kernel for non-linear classification), Decision Trees
Generative Model - Naive Bayes

Types of Neural Networks

• Autoencoders for dimensionality reduction
• CNN Convolutional NN
• RNN Recurrent NN

Interesting Deep Learning Demo Sites Discussed
imsitu.org
cloudcv.org

Happy Learning!!!