1. CSE4311 CSE5368 Neural Networks 2026_SP Syllabus.pdf
2. Teaching Assistants
3. Assignments
3.1 Assignment Submission Guidelines
3.2 Assignment 00 (Due date: Jan. 25, 2026)
3.3 Assignment 01 (Due date: Feb. 8, 2026)
3.4 Assignment 02 (Due date: Feb. 22, 2026)
3.5 Assignment 03 (Due date: Mar. 15, 2026)
3.6 Assignment 04 (Due date: Mar. 29, 2026)
3.7 Assignment 05 (Due date: Apr. 19, 2026)
4. Links to related sites
5. Handouts, Notes, and Supplementary Materials
5.1 How to use Google Colab and Github
5.2 Power Points pdf
5.2.1 instructor expectations and learning factors.pdf
5.2.2 Introduction.pdf
5.3 Neural Networks Nomenclature (Glossary)
5.3.1 Activation Function
ReLU
Linear
Sigmoid
Hord-Limit
5.3.2 Dense Layer
5.3.3 Perceptron
5.3.4 Loss Function
5.3.5 Gradient Descent
5.3.6 Epoch
5.3.7 Backpropagation
5.3.8 Learning Rate
5.3.9 Batch
5.3.10 Bias
5.3.11 Weight
5.3.12 Validation
5.3.13 Generalization
5.3.14 Overfitting
5.3.15 Underfitting
5.3.16 Regression
5.3.17 Target/Desired output
5.3.18 Test Set
5.3.19 Mini Batch
5.3.20 Regularization
5.3.21 L1 and L2 Norms
5.3.22 Hyper Parameters
5.3.23 Grid Search
5.3.24 Confusion Matrix
5.3.25 Supervised and Unsupervised Learning
5.3.26 Classification
5.3.27 One-hot
5.3.28 Softmax
5.3.29 Cross Entropy
5.3.30 SVM
5.3.31 MSE and MAE
5.3.32 Dropout
5.3.33 Feature Vector
5.3.34 Minima & Maxima
5.3.35 Linear separability
5.3.36 Global Minima/Maxima
5.3.37 Local Minima/Maxima
5.3.38 Strong Minima/Maxima
5.3.39 Weak Minima/Maxima
5.3.40 Data Augmentation
5.3.41 Tensor
5.3.42 Cost Function
5.3.43 Hidden layer
5.3.44 Initialization
5.3.45 Hyperplane
5.3.46 MNIST
5.3.47 Multilayer Perceptron (MLP)
5.3.48 Normalization
5.3.49 Vanishing Gradient
5.3.50 Exploding Gradient
5.3.51 VGG
5.3.52 Word2vec
5.3.53 Annotation
5.4 Geogebra links
5.4.1 NN activation functions.ggb
5.4.2 Two-layer NN visualization.ggb
5.4.3 visualizing NN activation functions.ggb
5.5 Exercises
5.5.1 CSE-5368 Exercise problems 01.pdf
5.5.2 CSE-5368 Exercise problems 02.pdf
5.5.3 CSE-5368 Exercise problems 03.pdf
5.5.4 CSE-5368 Exercise problems 04.pdf
5.5.5 CSE-5368 Exercise problems 05.pdf
5.5.6 CSE-5368 Exercise problems 06.pdf
5.5.7 CSE-5368 Exercise problems 07.pdf
5.5.8 CSE-5368 Exercise problems 08.pdf
5.5.9 CSE-5368 Exercise problems 09.pdf
5.5.10 Exercises and old tests.pdf
5.6 2026 Spring Neural Networks Quiz template.docx
6. Old Tests
6.1 2021_10_14 Exam1.pdf
6.2 2021_11_29 Exam2.pdf
6.3 2022_09_13 Quiz1.pdf
6.4 2022_09_27 Quiz2.pdf
6.5 2022_10_11 Quiz3.pdf
6.6 2022_10_13 Exam1.pdf
6.7 2022_10_25 Quiz 04.pdf
6.8 2022_11_08 Quiz 05.pdf
6.9 2022_11_22 Quiz 06.pdf
6.10 2022_12_01 Exam2.pdf
6.11 2023_02_09 Quiz 01.pdf
6.12 2023_02_16 Quiz 02.pdf
6.13 2023_02_28 Quiz 03.pdf
6.14 2023_03_09 Quiz 04.pdf
6.15 2023_03_09 Quiz 05.pdf
6.16 2023_03_09 Quiz 06.pdf
6.17 2023_03_30 Quiz 07.pdf
6.18 2023_03_30 Quiz 08.pdf
6.19 2023_04_27 Quiz 09-14.pdf
6.20 2023_09_19 Quiz 01.pdf
6.21 2023_09_26 Quiz 02.pdf
6.22 2023_10_05 Quiz 03.pdf
6.23 2023_10_12 Exam 01.pdf
6.24 2023_10_26 Quiz 04.pdf
6.25 2023_11_07 Quiz 05 and 06.pdf
6.26 2023_11_16 Quiz 07.pdf
6.27 2023_12_05 Exam 02.pdf
6.28 2024_02_06 Quiz 01.pdf
6.29 2024_02_20 Quiz 02.pdf
6.30 2024_03_05 Quiz 03.pdf
6.31 2024_03_21 Exam 01.pdf
6.32 2024_04_04 Quiz 04 solution.pdf
6.33 2024_09_10 Quiz 01.pdf
6.34 2024_09_26 Quiz 02.pdf
6.35 2024_10_10 Exam 01.pdf
6.36 2024_10_22 Quiz 03.pdf
6.37 2024_11_07 Quiz 04.pdf
6.38 2024_11_19 Quiz 05.pdf
6.39 2024_11_21 Quiz 06.pdf
6.40 2024_12_03 Exam 02.pdf
6.41 2025_10_09 Exam 01 solution.pdf
6.42 2026_01_29 Quiz 01 solution.pdf
6.43 2026_02_10 Quiz 02 solution.pdf
6.44 2026_03_24 Exam 01 solution.pdf
7. Covered Topics
8. Topics for Exam 1
9. Topics for Exam 2
About
Title
Neural Networks Spring 2026
Subject
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Company
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Author
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Version
2019
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