Hands-on Practice for Developing  & Tuning Convolutional Neural Network (CNN) Model using TensorFlow  (Anaconda & Google Colab Platform)

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Title

Hands-on Practice for Developing & Tuning Convolutional Neural Network (CNN) Model Using TensorFlow (Anaconda & Google Colab Platform)

Objectives

At the end of this course, participants will be familiar with CNN Architecture and able to develop a CNN model using own dataset, and tuning the model to increase its accuracy for classification and detection application.

Course Content

  • Module 1: Introduction to neuron, neural networks & deep learning
  • Module 2: Setup development environment & getting the python libraries
  • Module 3: Constructing CNN model for classification task
  • Module 4: Evaluating performance and tuning the CNN model
  • Module 5: Hands-on 1 : Train CNN using own dataset
  • Module 6: Constructing CNN model for detection task using YOLO
  • Module 7: Evaluating performance and tuning YOLO model
  • Module 8: Hands-on 2: Develop own detection dataset using Roboflow platform and train using YOLO model

Date

  • 13 October 2022

Time

  • 8.00 am - 5.00 pm

Venue

  • UTHM, Parit Raja, Batu Pahat, Johor

Fee

  • RM600 per pax (50% discount for student with valid student ID)