1. Perceptron
2. Understanding Tensorflow library
3. Activation functions
3. Transfer learning
4. BatchNormalization
5. Regression eg
1. Understanding the images(poc of filters and edges)
2. understanding convo block(poc of convo layer,pooling
3. Understanding various architecture
4. Parameter tuning