Name: Deep Learning Nanodegree Program
Rating: 5 (6 reviews)

Question 1

Why should I enroll?

Accepted Answer

In this program, you’ll master deep learning fundamentals that will prepare you to launch or advance a career, and additionally pursue further advanced studies in the field of artificial intelligence. You will study cutting-edge topics such as neural, convolutional, recurrent neural, and generative adversarial networks, as well as sentiment analysis model deployment, and you will build projects in NumPy and PyTorch. You will learn from experts in the field, and gain exclusive insights from working professionals. For anyone interested in building expertise with this transformational technology, this Nanodegree program is an ideal point-of-entry.

Question 2

What jobs will this program prepare me for?

Accepted Answer

This program is designed to build on your skills in deep learning. As such, it doesn't prepare you for a specific job, but expands your skills in the deep learning domain. These skills can be applied to various applications and also qualify you to pursue further studies in the field.

Question 3

How do I know if this program is right for me?

Accepted Answer

If you are interested in the fields of artificial intelligence and machine learning, this Nanodegree program is the perfect way to get started!

Question 4

Do I need to apply? What are the admission criteria?

Accepted Answer

No. This Nanodegree program accepts all applicants regardless of experience and specific background.

Question 5

What are the prerequisites for enrollment?

Accepted Answer

Students who are interested in enrolling must have intermediate-level Python programming knowledge, and experience with NumPy and pandas. You will need to be able to communicate fluently and professionally in written and spoken English. Additionally, students must have the necessary math knowledge, including: algebra and some calculus—specifically partial derivatives, and matrix multiplication (linear algebra).

Question 6

If I do not meet the requirements to enroll, what should I do?

Accepted Answer

We have a number of Nanodegree programs and free courses that can help you prepare, including:Introduction to Data AnalysisIntroduction to Computer ScienceIntroduction to PythonLinear Algebra RefresherIntroduction to Programming Nanodegree program with Data Analysis specialization

Question 7

How is this Nanodegree program structured?

Accepted Answer

The Deep Learning Nanodegree program is comprised of content and curriculum to support five (5) projects. We estimate that students can complete the program in four (4) months working 10 hours per week.Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

Question 8

How long is this Nanodegree program?

Accepted Answer

Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

Question 9

Can I switch my start date? Can I get a refund?

Accepted Answer

Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.

Question 10

I have graduated from the Deep Learning Nanodegree program but I want to keep learning. Where should I go from here?

Accepted Answer

Graduates from this Nanodegree program earn guaranteed admitted status into our more advanced Self-Driving Car Engineer or Flying Car Nanodegree programs, subject to payment by student for the cost of enrollment for those Nanodegree programs.

Question 11

What software and versions will I need in this program?

Accepted Answer

Virtually any 64-bit operating with at least 8GB of RAM will be suitable. Students should also have Python 3 and Jupyter Notebooks installed. For the more intensive portions of the program that come later, we will be providing students with AWS instances where geographically possible.

Deep Learning Nanodegree Program

Module 1: Introduction

Module 2: Neural Networks

Module 3: Convolutional Neural Networks

Module 4: Recurrent Neural Networks

Course FAQs