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Deep Learning Nanodegree Program

Deep Learning Nanodegree Program

Deep learning is driving advances in artificial intelligence that are changing our world. Enroll now to build and apply your own deep neural networks to challenges like image classification and generation, time-series prediction, and model deployment.


Course Highlights

  • In collaboration of AWS, Facebook Artificial Intelligence

  • Hands on learning with real-world projects from industry projects

  • Get Personal Career Coach & Career Services

  • Require effort of 12 hours per week

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7 Day Exchange Policy

Duration: 120 Days

Mode of learning: Online self study

Course Overview

What are the course deliverables ?
  • The Deep Learning Nanodegree program offers you a solid introduction to the world of artificial intelligence. In this program, you’ll master fundamentals that will enable you to go further in the field, launch or advance a career, and join the next generation of deep learning talent that will help define a beneficial, new, AI-powered future for our world. You will study cutting-edge topics such as Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, and Network Deployment, and build projects in PyTorch and NumPy. You'll learn from authorities such Ian Goodfellow and Jun-Yan Zhu, inventors of types of generative adversarial networks, as well as AI experts, Sebastian Thrun and Andrew Trask. For anyone interested in this transformational technology, this program is an ideal point-of-entry.

  • The program is comprised of 5 courses and 5 projects. Each project you build will be an opportunity to prove your skills and demonstrate what you’ve learned in your lessons.

More about this course
  • Become an expert in neural networks, and learn to implement them from scratch and using frameworks like PyTorch. Build convolutional networks for image recognition, recurrent networks for sequence and word generation, generative adversarial networks for image generation, and finally, learn to deploy these networks to a website.

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