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Deep Learning for Image Classification Using Keras
Venue
Entrance Fee
Category
Event Type
Share
Schedule
Date | Time |
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22/02/2025 | 9:30 AM - 5:30 PM |
23/02/2025 | 9:30 AM - 5:30 PM |
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Dive into the dynamic world of deep learning and discover the power of Keras for image classification. This course unveils the essential techniques and tools to unlock your potential in AI-driven computer vision projects. From the foundational concepts of neural networks to practical implementations, we cover it all.
Whether you're an aspiring data scientist, a machine learning enthusiast, or a professional looking to upscale, this course is your gateway to mastering image classification using Keras. Through hands-on examples, industry-grade projects, and expert guidance, you'll be equipped to tackle real-world challenges with confidence. Join us on this transformative journey.
Certificate
All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.
Funding and Grant
HRD Corp Claimable Course for Employers Registered with HRD Corp
Course Code: M886
Day 1
Topic 1 Keras Basics
What is Keras
Keras vs TensorFlow
Google Colab
Install and Run Keras on Google Colab
Topic 2 Image Classification Model with Feedforward Neural Network (NN)
What is Feedforward NN
One Hot Encoding
Cross Entropy and SoftMax
MNIST Dataset
NN Image Classification NN Model for HandWritten Digits
Topic 3 Image Classification with Convolutional Neural Network (CNN)
What is CNN?
CNN Architecture
CNN Image Classification for HandWritten Digits
Image Class Generator and Fit Generator
CNN Image Classification for Cats and Dogs Images
Solving Overfitting with Dropout & Data Augmentation
Mini Project on Image Classification
Day 2
Topic 4 Image Classification with Transfer Learning
What is Transfer Learning
Image Classification with Pre-Trained Models
Fine Tune Pre-Trained Models
Mini Project on Transfer Learning
Topic 5 Keras Functional CNN Model
What is Functional API
Split CNN Model for Image Classification
Mini Project on Functional CNN Model
Topic 6 Object Detection with Mask R-CNN
Overview of R-CNN Models
Mask R-CNN Demo