Computer Vision Nanodegree Program

Intermediate to advanced Python experience You are familiar with object-oriented programming

You can write nested for loops and can read and understand code written by others

Intermediate statistics background

You are familiar with probability

Intermediate knowledge of machine learning techniques

You can describe backpropagation, and have seen a few examples of neural network architecture (like a CNN for image classification)

You have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before

Master computer vision

image processing essentials

Learn to extract important features from image data

apply deep learning techniques to classification tasks

Learn to apply deep learning architectures to computer vision tasks

Discover how to combine CNN and RNN networks to build an automatic image captioning application

Learn how to locate an object and track it over time

This Nanodegree program accepts all applicants regardless of experience and specific background