Skip to content

martin0310/Deep_Learning_CCU_2023_Spring

Repository files navigation

Deep_Learning_CCU_2023_Spring

CCU 2023 Deep Learning Homework or Lab

Lab1

  • python-tutorial
  • Python_Basics_With_Numpy

HW1

  • TensorFlow Tutorial

Lab2

  • Building your Deep Neural Network: Step by Step
  • Deep Neural Network for Image Classification: Application

HW2

  • Keras tutorial - the Happy House

Lab3

  • Regularization

HW3-1

  • Optimization Methods
    1. Gradient Descent
    2. Mini-Batch Gradient descent
    3. Momentum
    4. Adam
    5. Model with different optimization algorithms
    • Mini-batch Gradient descent
    • Mini-batch gradient descent with momentum
    • Mini-batch with Adam mode
    • Summary

Mid-term

  • Forecast future restaurant visitor totals on a given date

Lab4

  • Convolutional Neural Networks: Step by Step

HW4

  • Residual Networks

Lab5

  • Autonomous driving - Car detection
    • Use object detection on a car detection dataset
    • Deal with bounding boxes

HW6

  • Building your Recurrent Neural Network - Step by Step

About

CCU 2023 Deep Learning Homework or Lab

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published