Hands-on Practice for Developing & Tuning Convolutional Neural Network (CNN) Model using TensorFlow (Anaconda & Google Colab Platform)
8 July 2022 2022-09-06 23:34Hands-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)