INT422 — Deep Learning
Study Units
My Weak QuestionsBuilding Models with TensorFlow
Building Models with Keras
Classifying Images with Deep Convolutional Neural Networks
Autoencoders and Pre-trained CNN
Modeling Sequential Data Using Recurrent Neural Networks
Generative Adversarial Networks
Continuous Assessment
3 components
Each student will be assigned a project topic and evaluated based on the innovation of the solution, presentation skills, and report writing.
Week 3 / 11
Rubric
To assess the skills of the individual in the learned concepts of deep learning, TensorFlow, Keras, CNN, and RNN.
This task will contain topics from unit 1 and unit 2.
Week 4 / 5
Rubric
To check the knowledge of students on learned topics.
Subjective test covering syllabus from CA1 and CA2.
Week 11 / 12
Rubric
To test the subject knowledge of the students and provide an opportunity to improve their CA performance in case of low marks or any missed CA.
Exams & Practice
Mid Term Examination
Mid-semester comprehensive evaluation
20%End Term Examination
Final semester comprehensive evaluation
50%Type: Examination
INT422 - FAQs
How many units are in INT422?
INT422 has 6 units. Each unit includes detailed notes and MCQ practice questions.
What exam resources are available for INT422?
Unit-wise notes and MCQ practice are available. Exam resources coming soon.
How to prepare for INT422 exams?
Study each unit's notes thoroughly, practice MCQs to test understanding, and attempt mock tests before exams. Focus on important topics and previous year questions.