Deep Learning

Deep Learning

21 h
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  • 12 Sequences
  • Introductive Level

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**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.




  • 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.


Udacity est une entreprise fondé par Sebastian Thrun, David Stavens, et Mike Sokolsky offrant cours en ligne ouvert et massif.

Selon Thrun, l'origine du nom Udacity vient de la volonté de l'entreprise d'être "audacieux pour vous, l'étudiant ". Bien que Udacity se concentrait à l'origine sur une offre de cours universitaires, la plateforme se concentre désormais plus sur de formations destinés aux professionnels.

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