Artificial Neural Network (ann) Codes

Group A

QA1: Write a Python program to plot a few activation functions that are being used in neural networks.

QA2: Generate ANDNOT function using McCulloch-Pitts neural net by a python program.

QA3: Write a Python program to design a perceptron for even and odd numbers.

QA4: Write a Python program to implement a perceptron and plot the decision regions.

QA5: Write a Python program to simulate Bidirectional Associative Memory (BAM).

QA7: Write a Python program to implement artificial neural network for forward propagation and back propagation.

Group B

QB1: Write a Python program to implement XOR using back propagation algorithm.

QB3: Write a Python program to simulate a feed forward neural network using back propagation algorithm.

QB4: Write a Python program to simulate Hopfield network.

QB5: 5. Write Python program to implement CNN object detection. Discuss numerous performance evaluation metrics for evaluating the object detecting algorithms' performance

Group C

QC1: 1. How to Train a Neural Network with TensorFlow/Pytorch and evaluation of logistic regression using tensorflow

QC2: 2. TensorFlow/Pytorch implementation of CNN

QC4: 4. MNIST Handwritten Character Detection using PyTorch, Keras and Tensorflow


        

        

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