Value Based Methods, Short Course | Part time online | Udacity | United States
Studyportals
Short Online

Value Based Methods

Unknown
Duration
249 USD/year
249 USD/year
249 USD/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

Throughout the Value Based Methods course from Udacity you'll apply deep learning architectures to reinforcement learning tasks.

Overview

This Value Based Methods course from Udacity will train your own agent that navigates a virtual world from sensory data.

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

  • Gain proven experience
  • Retain knowledge longer
  • Apply new skills immediately

Programme Structure

Courses include:

  • Study Plan
  • Deep Q-Networks
  • Project: Navigation

Key information

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Prior to enrolling, you should have the following knowledge:

  • Reinforcement learning fundamentals
  • Deep learning framework proficiency
  • Neural network basics
  • Object-oriented programming basics
  • Intermediate Python

You will also need to be able to communicate fluently and professionally in written and spoken English.

Tuition Fee

To always see correct tuition fees
  • International

    249 USD/year
    Tuition Fee
    Based on the tuition of 249 USD per year
  • National

    249 USD/year
    Tuition Fee
    Based on the tuition of 249 USD per year
  • In-State

    249 USD/year
    Tuition Fee
    Based on the tuition of 249 USD per year

Students can save 15% by paying upfront for a four-month subscription for $846.

Funding

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Value Based Methods
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