Portfolio optimization is a fundamental problem in finance. Modern portfolio theory introduced by Markowitz assumes that an investor aims to maximize portfolios expected return contingent on the amount of risk. Classical approaches require solving a convex optimization problem. In this project we use deep learning to solve the portfolio optimization problem for a collection of stocks.