Face Recognition in python3 using - i) Haar Cascade Classifier in OpenCV ii) MTCNN library with high accuracy. The code detects faces in pictures.
Digit recognizer trained in python using the MNIST dataset. Accuracy: 99.26% CNN model trained using Keras in Google Colab.
Cat Classifier in Python using DL. Dataset included. Train a 4 layer model with 98% and 80% accuracy on the train and test set. Actual implementation of the network without framework functions.