Deep Learning
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list 12 séquences
assignment Niveau : Introductif
chat_bubble_outline Langue : Anglais
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Les infos clés

credit_card Formation gratuite
timer 21 heures de cours

En résumé

**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 develop a clear understanding of the motivation for deep learning, and design intelligent systems that learn from complex and/or large-scale datasets. We’ll show you how to train and optimize basic neural networks, convolutional neural networks, and long short term memory networks. Complete learning systems in TensorFlow will be introduced via projects and assignments. You will learn to solve new classes of problems that were once thought prohibitively challenging, and come to better appreciate the complex nature of human intelligence as you solve these same problems effortlessly using deep learning methods. We have developed this course with Vincent Vanhoucke, Principal Scientist at Google, and technical lead in the Google Brain team. ***Note**: This is an intermediate to advanced level course offered as part of the [Machine Learning Engineer Nanodegree]( program. It assumes you have taken a first course in machine learning, and that you are at least familiar with supervised learning methods.*

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Le programme

**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.


Les intervenants

  • 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.

La plateforme


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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