Guidance to start working with TensorFlow
- Intro to TensorFlow2.x
- Eager Execution
- Tensors
- Variables
- function
- gradient
- Some common seen commands in TensorFlow1.x
Setup a neural network using TensorFlow2.x
- 4 ways to build the network
- Train the neural network
- Activation function
- Attributes and Methods
- save and load model
Customization
- Customize the activation function
- Cutomize the loss function
[Note: tf.keras.losses.MSE shape problem]
Polynomial Approximation
- Linear regression
- Polynomial Regression
AutoGraph
- AutoGraph
- Functions
- Linear Regression Revisited