Learn Deep Learning and the frontier of AI technologies<\/h2>\n
The emergence of Deep Learning technology has dramatically improved AI technology, and had a big impact on diverse industry and social institution. In the near future, every industry and its types should be influenced by AI technologies.\u3000Deep Learning JP is offering a series of educational programme for the future that AI technologies would have played an important role in society.<\/p>\n
Deep Learning JP is offering a series of educational programmes.<\/p>\n
Deep Learning Basics<\/h2>\n
Deep Learning Basics is an advanced programme; starting from basics of MLP and neural network, designed to get you learning core technologies of Deep Learning and the latest topics step by step. <\/p>\n
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- Date\uff1a Every Monday 4:50 PM ~<\/li>\n
- Place\uff1a Faculty of engineering bldg. 2 and 3<\/li>\n<\/ul>\n
Program syllabus\uff1a<\/p>\n
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- Introduction
\nDate\uff1a2015\/11\/ \u00a02
\nPlace\uff1aFaculty of eng. bldg. 3rd floor lecture room 33<\/li>\n - k-NN, Logistic Regression, Softmax, train\/dev\/test development
\nDate\uff1a2015\/11\/ \u00a09
\nPlace\uff1aFaculty of eng. bldg. 3rd floor lecture room 33<\/li>\n - Perceptron + Feed Forward Network
\nDate\uff1a2015\/11\/16
\nPlace\uff1aFaculty of eng. bldg. 3rd floor lecture room 33<\/span><\/li>\n- Gradient Descent, Stochastic Gradient Descent
\nDate\uff1a2015\/11\/24\uff08The date has been changed because of a holiday\uff09
\n<\/span>Place\uff1aFaculty of eng. bldg. 3rd floor lecture room 33<\/span><\/li>\n- Autoencoders – RBM
\nDate\uff1a2015\/11\/30
\nPlace\uff1aFaculty of eng. bldg. 3rd floor lecture room 33
\n<\/span><\/li>\n- Convolutional Neural Networks
\nDate\uff1a2015\/12\/ \u00a07
\nPlace\uff1aFaculty of eng. bldg. 3rd floor lecture room 33
\n<\/span><\/li>\n- Recurrent Neural Networks
\nDate\uff1a2015\/12\/14
\nPlace\uff1aFaculty of eng. bldg. 4th floor lecture room 34
\n<\/span><\/li>\n- Deep Learning and Language Models
\nDate\uff1a2015\/12\/21
\nPlace\uff1aFaculty of eng. bldg. 3rd floor lecture room 33
\n<\/span><\/li>\n- Advanced Topics
\nDate\uff1a2016\/ 1\/14
\nPlace\uff1aFaculty of eng. bldg. 2nd floor lecture room 31<\/span><\/li>\n- Final report\uff08Special lecture\uff1aPFN Mr. Ohno “The outline of framework in Deep Learning and Chainer”\uff09
\nDate\uff1a2016\/ \u00a01\/23 \u203bThe date has been changed
\nPlace\uff1a Dwango Seminar room \uff08 Matsutake Square\uff09<\/li>\n<\/ol>\n - Gradient Descent, Stochastic Gradient Descent
- Introduction