These are the exercise files used for NICF – Basic Deep Learning with Tensorflow Keras course.
The course outline can be found in
https://www.tertiarycourses.com.sg/wsq-deep-learning-tensorflow-keras.html
Topic 1 Introduction to Deep Learning
- Machine Learning vs Deep Learning
- Deep Learning Methodology
- Overview of Tensorflow and Keras
- Install and Run Keras
Topic 2 Introduction to Neural Network
- What is Neural Network (NN)?
- Loss Function and Optimizer
- Build a Neural Network Model for Regression
Topic 3 Classification Model with Neural Network
- One Hot Encoding and SoftMax
- Cross Entropy Loss Function
- Build a Neural Network Model for Classification
Topic 4 Convolutional Neural Network (CNN)
- Introduction to Convolutional Neural Network?
- ImageDataGenerator
- Image Classification Model with CNN
- Data Augmentation and Dropout
Topic 5 Transfer Learning
- Introduction to Transfer Learning
- Applications of Pre-Trained Models
- Fine Tuning Pre-Trained Models
Mode of Assessment
- Written Assessment (Q&A)
- Practical Performance
- Oral Questioning