NeuralNetworks

Guidance to start working with TensorFlow

Tutorial1

• Intro to TensorFlow2.x
• Eager Execution
• Tensors
• Variables
• function
• gradient
• Some common seen commands in TensorFlow1.x

Tutorial2

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

Tutorial3

Customization

• Customize the activation function
• Cutomize the loss function

[Note: tf.keras.losses.MSE shape problem]

Tutorial4

Polynomial Approximation

• Linear regression
• Polynomial Regression

Tutorial5

Tutorial6

AutoGraph

• AutoGraph
• Functions
• Linear Regression Revisited