ahmernajar

alphabet-classifier-using-cnn

A Kaggle dataset A_Z Handwritten Data in .csv format . In this model i have used CNN using keras with tensorflow backend

alphabet-classifier-using-cnn-part-2

Titanic-Machine-Learning-from-Disaster-Kaggle-Competition

ZERO-SHOT-IMITATION-LEARNING-FOR-UAV

zero-shot-learning

ahmernajar

Anime_Naruto_Jutsu_Classifier

digit-recogniser-cnn

Face-Mask-Detection

MNIST-digit-recognition-and-classification-using-CNN-with-Keras-99.70

The training dataset consists of 42000 rows each of 784 pixel values thus representing 28 x 28 sized 42000 images of different digits from 0 to 9 . I have used Convolutional Neural Networks to train the model with the help of Keras and made predictions on the 28000 images of the test dataset, also achieved 99.321 % valid accuracy with just 10 epochs . Also tuned ImageDataGenerator to promote generalization and avoid overfitting problem .

Object-Detection

Object Detection by using yolo weights.