Deep Learning

Deep Learning

Course
en
English
21 h
This content is rated 0 out of 5
Source
  • From www.udacity.com
Conditions
  • Self-paced
  • Free Access
More info
  • 12 Sequences
  • Introductive Level

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Course details

Syllabus

**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”Optimize a logistic classifier using gradient descent, SGD, Momentum and AdaGrad. **Lesson 2: Deep Neural Networks** - Train a simple deep network. - Effectively regularize a simple deep network. - 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 4: Deep Models for Text and Sequences** - Train a text embedding model. - Train a LSTM model.

Prerequisite

None.

Instructors

  • Vincent Vanhoucke - Vincent Vanhoucke is a Principal Research Scientist at Google, working with the Google Brain team on deep learning research and infrastructure. He completed his Ph.D. at Stanford University on speech recognition, and now focusses his research on image and video understanding as well as mobile and robotic perception.

Platform

Udacity is a for-profit educational organization founded by Sebastian Thrun, David Stavens, and Mike Sokolsky offering massive open online courses (MOOCs). According to Thrun, the origin of the name Udacity comes from the company's desire to be "audacious for you, the student". While it originally focused on offering university-style courses, it now focuses more on vocational courses for professionals.

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