Computer Vision Nanodegree Program

Intermediate knowledge of machine learning techniques

Intermediate statistics background

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

You are familiar with probability

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

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

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

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

Learn to apply deep learning architectures to computer vision tasks

Learn to extract important features from image data

Master computer vision

apply deep learning techniques to classification tasks

image processing essentials

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