Nanodegree Program

Neural Networks Foundation

Get introduced to the world of neural networks. Learn advanced Deep learning concepts like Convolutional Neural Networks, Recurrent Networks, and Generative Adversarial Networks

ENROLLMENT CLOSING IN

7 days refund, no questions asked

  • Time
    2 months

  • Prerequisites
    Basics of Python Programming
  • Classroom Opens
    6 June 2018

Why take this Foundation Nanodegree Program

Neural Networks positions you at the very forefront of one of the most promising, innovative, and influential emergent technologies, and opens up tremendous new career opportunities. If you are looking for a career as Data Analyst, Data Scientist, or Deep Learning Engineers, this would be an ideal place to start with. After graduating from this Foundation Nanodegree, the student will be well versed with the concept of neural network. From basic neural networks to the latest GAN's, this Foundation Nanodegree Program will help you master all important concepts.


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Get started with this Foundation Nanodegree Program to prepare for a career-ready Nanodegree Program

What You Will Learn

Intermediate

What are you going to learn

Become an expert in neural networks, and learn to implement them in Keras and TensorFlow. Build convolutional networks for image recognition, recurrent networks for sequence generation, generative adversarial networks for image generation, and more.

See fewer details

2 months to complete

Prerequisite Knowledge

Basics of Python ProgrammingSee detailed requirements.

  • Introduction to Neural Networks

    Learn neural networks basics, and build your first network with Python and Numpy. Use modern deep learning frameworks (Keras, TensorFlow) to build multi-layer neural networks.

  • Convolutional Neural Networks

    Learn how to build convolutional networks and use them to classify images (faces, melanomas, etc.) based on objects that appear in them. Use these networks to learn data compression and image denoising.

    Dog breed classifier
  • Recurrent Neural Networks

    Build your own recurrent networks and long short-term memory networks with Keras and TensorFlow; perform sentiment analysis and generate new text. Use recurrent networks to generate new text from TV scripts.

    Generate TV Scripts
  • Generative Adversarial Networks

    Learn to understand and implement the DCGAN model to simulate realistic images, with Ian Goodfellow, the inventor of GANS (generative adversarial networks).

Learn with the best

Mat Leonard
Mat Leonard

INSTRUCTOR

Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.

Luis Serrano
Luis Serrano

INSTRUCTOR

Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.

Alexis Cook
Alexis Cook

INSTRUCTOR

Alexis is an applied mathematician with a Masters in computer science from Brown University and a Masters in applied mathematics from the University of Michigan. She was formerly a National Science Foundation Graduate Research Fellow.

Ortal Arel
Ortal Arel

Instructor

Ortal Arel is a former computer engineering professor. She holds a Ph.D. in Computer Engineering from the University of Tennessee. Her doctoral research work was in the area of applied cryptography.

Arpan Chakraborty
Arpan Chakraborty

Instructor

Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.

Jay Alammar
Jay Alammar

Instructor

Jay is a software engineer, the founder of Qaym (an Arabic-language review site), and the Investment Principal at the Riyad Taqnia Fund, a $120 million venture capital fund focused on high-technology startups.

Start Learning
Intermediate
₹10600*

Neural Networks Foundation

7 days refund; no questions asked
Total Seats: 120
Time to Complete: 2 months
Prerequisite: Basics of Python Programming

Admissions Closes: 06 June

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FAQ

    About the course
  • Why do I take up this Nanodegree?
    Neural Networks positions you at the very forefront of one of the most promising, innovative, and influential emergent technologies, and opens up tremendous new career opportunities. If you are looking for a career as Data Analyst, Data Scientist, or Deep Learning Engineers, this would be an ideal course to start with. After graduating from this Nanodegree, the student will be well versed with the concept of neural network. From basic neural networks to the latest GAN's, this Foundation Nanodegree Program will help you master all important concepts.
  • What are prerequisites for this Nanodegree?
    Basics of Python Programming is a prerequisite for the Nanodegree.
  • How is the Nanodegree Program Structured?
    This Nanodegree is of 2 months, which needs to be completed in the given time period. Your 2 months will start from the date you get access to your classroom.
  • Do you offer the opportunity for students to pause their studies for this program?
    No. The fixed-term nature of this Nanodegree program, and the need for maintaining a consistent and stable student body throughout, doesn't allow for offering the option to pause your studies.
  • Is this program self-paced?
    No. The start and end dates of this Nanodegree is fixed, and you must complete all assigned projects by the end dates. However, projects may be submitted at any time during the Nanodegree, and individual project deadlines are recommendations, not requirements. So within the Nanodegree, there is some opportunity to work at your own pace. You should plan to follow our recommended timeline, as this will best enable you to keep pace with your peers, and complete the program on time.
  • What kind of weekly time commitment should I expect?
    On average, we find students spending 10-12 hours per week throughout the entire Nanodegree, to complete this Nanodegree on time. This is an average so that some students may require more than the allotted time frame, or less.
  • Are deferments an option if I'm enrolled, but not ready to start yet?
    No, deferments are not an option. We ask that you, please make sure to only enroll for the Nanodegree if you can commit to the entire time frame.
  • What happens to my access to the content if I am unable to graduate within the term duration?
    Access to the content is locked if the student is unable to complete all their projects and graduate within the given term duration. This motivates the students to stay on track and finish the Nanodegree on time.
  • Do I lose access to this Nanodegree once I graduate?
    No, you will retain the access to your Nanodegree once you graduate.
  • Does this Nanodegree provide Mentorship?
    Yes, you will be provided mentors to guide you throughout the Nanodegree.
  • Does this Nanodegree offer any trial period?
    No, this Nanodegree does not contain any trial period. We do have seven days no questions asked refund policy. You can pay for your Nanodegree and ask for a refund within seven days from the date you get access to your classroom.
  • Do you provide Scholarship for this Nanodegree?
    Career Services
  • What career services we provide?
    You do not become job ready on completion of Machine Learning Basic Nanodegree . You are required to complete Machine Learning Advance Nanodegree to become Industry and Job Ready.
  • What career services we provide?
    This is a foundation level course which will prepare you for the jobs of tomorrow
    Student Support
  • What is the kind of student support I will get during this program?
    Project Reviews: The Project reviews provide deep analysis of a student's code and project. Reviewers are trained professionals that provide feedback on coding styles, industry guidelines, optimization of the code and reference links for improving the project. Mentorship: Mentors are appointed to students that have one on one chats with them. They keep track of the progress in the course, Help them in time management and keep them motivated throughout the course.
  • How can I get in touch with Udacity for any support?
    Please write to india@udacity.com for faster response
    Payments & Refunds
  • Do we get 50% refund for this Nanodegree?
    No, We do not offer 50% refund on completing of this Nanodegree.
  • Does this Nanodegree follow seven days No Questions Asked refund policy?
    Yes, this Nanodegree follows seven days no questions asked refund policy.
  • If the refund is provided for this Nanodegree, How much time does the refund process take?
    The refund process takes up to 2-3 weeks of time. The amount will be refunded back to the original model of payment. If you would like to get the refund in a different bank account, please mention the same to india@udacity.com while requesting for a refund.
  • How do I get my invoice?
    Please write to india@udacity.com, It can take maximum upto 7 days for us to issue your invoice.
  • What if I do not receive my refund in 15-20 days?
    If you do not receive your refund within 15-20 days, please reach out to support@razorpay.com.

Neural Networks Foundation

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