Using Tensorflow for basic Classification/Regression Problem statements

Classification

Fashion MNIST Classification

Dataset: Fashion-MNIST is a dataset of Zalando's article images consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes.

Problem: Multiclass classification:

Output Classes: ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat', 'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']

Traffic Signals Classification

Dataset: Belgium Traffic Signal Dataset

Regression

Calcius to Fahrenheit conversion

• F = 1.8 C + 32