ann-practicals 1.1.0

Retrieve ANN practical assignment codes by number (13 assignments)

ann-practicals

A zero-dependency Python package to retrieve ANN (Artificial Neural Network) practical assignment codes and titles by number.

Installation

pip install ann-practicals

Usage

from ann_practicals import get_code, get_title, get_assignment, list_assignments

# List all 13 assignments
for n, title in list_assignments():
    print(n, title)

# Get title for assignment 1
print(get_title(1))
# → "Plot activation functions (Sigmoid, ReLU, Tanh) using a Neuron class"

# Get code for assignment 2
print(get_code(2))

# Get both title and code as a dict
a = get_assignment(3)
print(a["title"])
print(a["code"])

Assignments

#	Title
1	Plot activation functions (Sigmoid, ReLU, Tanh) using a Neuron class
2	Generate ANDNOT function using McCulloch-Pitts neural net
3	Perceptron Neural Network to recognise even and odd numbers (ASCII 0-9)
4	Perceptron learning law with decision regions (graphical)
5	ANN training process using Forward Propagation and Back Propagation
6	Neural network from scratch for multi-class classification (Iris dataset, ReLU)
7	Back Propagation Network for XOR function with Binary Input and Output
8	ART (Adaptive Resonance Theory) neural network
9	Back Propagation Feedforward neural network (XOR)
10	Hopfield Network storing 4 vectors
11	Train a Neural Network with TensorFlow and evaluate logistic regression
12	PyTorch implementation of CNN on MNIST
13	MNIST Handwritten Character Detection using PyTorch

License

MIT