About this Course

Machine learning is one of the fastest-growing and most exciting fields out there, and deep learning represents its true bleeding edge. In this course, you’ll get an overview of what deep learning is all about.

Partnering with Vincent Vanhoucke, Principal Scientist at Google, and technical lead in the Google Brain team, we’ll teach you how deep learning builds on machine learning. Then you’ll get a chance to learn more about deep neural networks and advanced architectures such as convolutional networks and recurrent networks.

And if you’d like to dive even deeper into this cutting-edge field, we recommend that you continue your studies with our full-fledged Deep Learning Nanodegree program to get more hands-on experience.

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Course Cost
Free
Timeline
Approx. 1 month
Skill Level
Intermediate
Included in Course
  • Rich Learning Content

  • Interactive Quizzes

  • Taught by Industry Pros

  • Self-Paced Learning

  • Student Support Community

Join the Path to Greatness

This free course is your first step towards a new career with the Artificial Intelligence for Trading Nanodegree Program.

Free Course

Intro to Deep Learning

by Google

Enhance your skill set and boost your hirability through innovative, independent learning.

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Course Leads

  • Vincent Vanhoucke
    Vincent Vanhoucke

    Instructor

  • Arpan Chakraborty
    Arpan Chakraborty

    Course Developer

What You Will Learn

Lesson 1

From Machine Learning to Deep Learning

  • Understand the historical context and motivation for Deep Learning.
  • Set up a basic supervised classification task and train a black box classifier on it.
  • Train a logistic classifier “by hand”, and using gradient descent (and stochastic gradient descent).
Lesson 1

From Machine Learning to Deep Learning

  • Understand the historical context and motivation for Deep Learning.
  • Set up a basic supervised classification task and train a black box classifier on it.
  • Train a logistic classifier “by hand”, and using gradient descent (and stochastic gradient descent).
Lesson 2

Deep Neural Networks

  • Train a simple deep network: Relus, the chain rule, and backpropagation.
  • Effectively regularize a simple deep network. L2 regularization, and dropout.
  • Train a competitive deep network via model exploration and hyperparameter tuning.
Lesson 2

Deep Neural Networks

  • Train a simple deep network: Relus, the chain rule, and backpropagation.
  • Effectively regularize a simple deep network. L2 regularization, and dropout.
  • Train a competitive deep network via model exploration and hyperparameter tuning.
Lesson 3

Convolutional Neural Networks

  • Train a simple convolutional neural net.
  • Explore the design space for convolutional nets.
Lesson 3

Convolutional Neural Networks

  • Train a simple convolutional neural net.
  • Explore the design space for convolutional nets.
Lesson 4

Deep Models for Text and Sequences

  • Train a text embedding model using models like Word2Vec. Reduce the dimensionality of the space using tSNE.
  • Train a LSTM model, and regularize it.
Lesson 4

Deep Models for Text and Sequences

  • Train a text embedding model using models like Word2Vec. Reduce the dimensionality of the space using tSNE.
  • Train a LSTM model, and regularize it.

Prerequisites and Requirements

Prior to taking this course, you should possess the following experience and skills:

  • Minimum 2 years of programming experience (preferably in Python)
  • Git and GitHub experience (assignment code is in a GitHub repo)
  • Basic machine learning knowledge (especially supervised learning)
  • Basic statistics knowledge (mean, variance, standard deviation, etc.)
  • Linear algebra (vectors, matrices, etc.)
  • Calculus (differentiation, integration, partial derivatives, etc.)

See the Technology Requirements for using Udacity.

Why Take This Course

You’ve heard so much about deep learning - from DeepMind’s victory over the world’s Go champion to skin cancer detection algorithms as good as the world’s best doctors. Now get an overview of how deep learning actually works.

And once you have a better sense of the field, consider enrolling in our Deep Learning Nanodegree program to get hands-on with mastering this cutting-edge toolset.

What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals
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