UNIQUE SERIES AKTU Syllabus
BAI751

Deep Learning Lab

L-T-P0-0-2 Credits1 Session2025-26 TypeLab / Practical
Appears in 5 semesters · 5 branches

B.Tech Artificial Intelligence & Machine Learning · Sem 7 (Lab) · B.Tech Artificial Intelligence & Data Science · Sem 7 (Lab) · B.Tech CSE (Artificial Intelligence) · Sem 7 (Lab) · B.Tech CSE (AI & ML) · Sem 7 (Lab) · B.Tech CSE (Data Science) · Sem 7 (Lab)

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List of Experiments / Activities

  1. DEEP LEARNING LAB
  2. 1Write a python program to Implement Perceptron for understanding single-layer neural network?
  3. 2Write a program to Visualize Activation Functions (Sigmoid, ReLU, Tanh)?
  4. 3Write a program to Build a Simple Feedforward Neural Network?
  5. 4Write a program to MNIST Digit Classification using Keras?
  6. 5Write a program to Create and Visualize CNN Layers.
  7. 6Write a program to CIFAR-10 Image Classification for understanding Multiclass image classification using CNN.
  8. 7Write a program to implement Image Augmentation Techniques for application of preprocessing & transformation?
  9. 8Write a program using Dropout for Regularisation to improve model generalisation.
  10. 9Write a program to Build Model Using PyTorch?
  11. 10Write a program to Compare Training with and without Batch Normalization for Analyzing performance and convergence?
  12. Note: The Instructor may add/delete/modify/tune experiments
Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

  1. CO1Understand the fundamentals of neural networks and activation functionsK2
  2. CO2Implement and visualize basic feedforward and convolutional neural networksK4
  3. CO3Train, validate, and evaluate deep learning models on standard datasetsK5
  4. CO4Use popular deep learning libraries such as TensorFlow/Keras or PyTorchK3
  5. CO5Apply deep learning concepts to real-world use cases like image classification and digit recognitionK5

Note: The AKTU syllabus PDF of some branches prints this subject with small differences in the experiments (AI & Data Science, CSE (AI), CSE (AI & ML), CSE (Data Science)). Please also check the official AKTU PDF of your branch, linked at the end of your semester page.

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Official AKTU syllabus

This subject is on page 8 of the original AKTU PDF.

Official AKTU syllabus PDF ↗