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experimenting-with-emnist-letters

Experimenting and checking results for EMNIST Letters dataset by applying convolutional network architecture. I have also compared the accuracy with the MNIST dataset.

icab

implementing-a-perceptron

Implemented the perceptron learning algorithm on a randomly generated dataset with dynamically changing the learning rate for the same. Visualized the perceptron using a hyperplane. Also extended the algorithm for a multiclass classification.

multilayer-perceptron-on-emnist-dataset

EMNIST dataset is used to create and test Multilayer Perceptron(Feedforward neural network)

object-detection-using-tensorflow

Convolutional Neural Networks was used for extracting features from the images. Objects were detected from the image using background frame subtraction in TensorFlow.

place_recommendation_for_tourists

Recommendation Systems are mainly used to predict the output based on the user ratings and inputs. In a decade recommendation system has gained popularity for a variety of applications. Recommendation system compares the data collected from users and create a list of items recommended to the user. Place Recommendation system allows user to enter the rating of the city/ tourist destination they visited and then depending on their interest a similar place will be recommended.

prolog-examples

Some simple examples for new Prolog programmers

restapi_mvc

A Restful API to add, delete, update and view student data.