1: Introduction and Development Environment Setup
2: TensorFlow: Advanced Topics
3: Fundamentals of Convolutional Neural Networks
4: Advanced CNNs and Transfer Learning
1: Introduction and Development Environment Setup
How single neuron , and its components work
-> activation functions , inputs , weights , bias
How develop simple neural network with several layers in Python with TensorFlow or Keras
How gradient descent works
p 2 advanced optimized – RMSProp , Momentum , Adam
Regulaation method – l1,l2 , droptou
Hyperprameters
train – network , Hyperparameters มีบทบาท essential role – learning rate , number of epochs
parameter tuning
low-level tensorFlow APIs , Keras
p 3 p 4 p 5 p 6 p 7 p 8
2: TensorFlow: Advanced Topics
3: Fundamentals of Convolutional Neural Networks
4: Advanced CNNs and Transfer Learning