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Study 12 hrs/week and complete in 4 mo.
In this program, you’ll cover topics like Keras and TensorFlow, convolutional and recurrent networks, deep reinforcement learning, and GANs. You'll learn from authorities such as Sebastian Thrun, Ian Goodfellow, and Andrew Trask, and enjoy access to Experts-in-Residence from OpenAI, Google Brain, DeepMind, Bengio Lab and more. This is the ideal point-of-entry into the field of AI.
Learn practical skills taught by deep learning experts including Sebastian Thrun, Ian Goodfellow, Andrew Trask, and the Udacity Deep Learning Team.
Work on five specially-designed deep learning projects, and receive detailed feedback on each from our expert reviewers.
Enjoy direct access to world-class deep learning practitioners from some of the most innovative organizations in the world. Moderated office hour sessions offer practical, actionable, and insightful guidance and support.
Benefit from the opportunity to connect directly with our Udacity Experts-in-Residence, an elite group of data science practitioners working at some of the most data-driven organizations in the world, including Google, Airbnb, IBM Watson, and more. In moderated office hour sessions, you’ll get actionable insights and guidance that will power your progress through our data science courses, and help prepare you for the next steps in your data science future.Connect with our Udacity Experts-in-Residence, working at the most data-driven organizations in the world. You'll get insights and guidance that will power your progress, and prepare you for the next steps in your data science future.
Our Udacity Experts-in-residence
As a graduate, you earn guaranteed admission, subject to your payment of program enrollment costs, into one of two advanced Nanodegree programs. You’ll continue to explore even more deep learning projects alongside groundbreaking new curriculum built with our pioneering industry collaborators. Note that we recommend some C++ knowledge to get the most out of these programs.
Enroll in the Deep Learning Nanodegree program
Graduate within 4 months
Enroll in, and pay for, one of two advanced Nanodegree programs with guaranteed admission
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This program has been created specifically for students who are interested in machine learning, AI, and/or deep learning, and who have a working knowledge of Python programming, including numpy and pandas. Outside of that Python expectation and some familiarity with calculus and linear algebra, it's a very beginner-friendly program. See detailed requirements.
Get your first taste of deep learning by applying style transfer to your own images, and gain experience using development tools such as Anaconda and Jupyter notebooks.
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, and analyze real data.Your First Neural Network
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
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
Learn to understand and implement the DCGAN model to simulate realistic images, with Ian Goodfellow, the inventor of GANS (generative adversarial networks).Generate Faces
Use deep neural networks to design agents that can learn to take actions in a simulated environment. Apply reinforcement learning to complex control tasks like video games and robotics.Teach a Quadcopter How to Fly
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
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 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 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 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 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.
Have a nice experience
It's been extremely tough as I've never done anything like this and I kinda just jumped right in. But the topics have been presented in such a way that I'm always interested to come back and see what's next. Also, my mentor has been guiding me through the process of adjusting to this new learning style. Along with my mentor, the forums and the Slack channel have both helped me out tremendously when it comes to smaller questions.
Gostei muito do curso, consegui aprender sobre várias redes neurais profundas, mas tenho mais interesse por redes recorrentes, já que pretendo usar esta rede no meu doutorado. No geral, o curso é muito bom, traz diversos exemplos, exércícios, os professores são bem didáticos, tem os projetos, experiências de especialistas que trabalham na área. Muito bom. Parabéns.
i learned a lot about deep learning and artificial intelligence in general. It has been a great experience and great add-on to my profile.
Simply the best online course possible on DL.
Learn to build the deep learning models that are revolutionizing artificial intelligence.
The Deep Learning Nanodegree program is comprised of one (1) Term of four (4) months. A Term has fixed start and end dates.
To graduate, students must successfully complete four (4) projects, each of which affords you the opportunity to apply and demonstrate new skills that you learn in the lessons. 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.
The full Nanodegree program consists of one (1) four (4)-month long term at a cost of USD $599 in total program costs.
Payment is due before the term begins.