Silicon Valley Hands On Programming Events

Taught by Dr. Michal Fabinger from Tokyo University. This class covers basics of deep learning in much greater depth than any of the online classes. This class is run online after work hours Sun-Thu starting at 6pm PST for 2h with a lecture/demo over Zoom Video Conference. The lectures are performed live from Tokyo Japan. This class is the same as taught in Tokyo University and is the same material as covered in a class spanning 1 year. Most of the online classes fail to cover basics from Statistics/Probability/Differential Geometry. Syllabus: https://tokyodatascience.com/deeplearning This class consists of 2 parts, the first part covering basics and review evolving to a second part which involves working on projects and implementing papers. Read section 4.3 and 8.3.1 of the Deep Learning book (https://www.deeplearningbook.org/ , freely available). The syllabus below is from a past class and may change based on evolution of what is important and what the class is interested in Zoom Conf Link: 6pm PST https://zoom.us/j/169548352

Taught by Dr. Michal Fabinger from Tokyo University. This class covers basics of deep learning in much greater depth than any of the online classes. This class is run online after work hours Sun-Thu starting at 6pm PST for 2h with a lecture/demo over Zoom Video Conference. The lectures are performed live from Tokyo Japan. This class is the same as taught in Tokyo University and is the same material as covered in a class spanning 1 year. Most of the online classes fail to cover basics from Statistics/Probability/Differential Geometry. Syllabus: https://tokyodatascience.com/deeplearning This class consists of 2 parts, the first part covering basics and review evolving to a second part which involves working on projects and implementing papers. Read section 4.3 and 8.3.1 of the Deep Learning book (https://www.deeplearningbook.org/ , freely available). The syllabus below is from a past class and may change based on evolution of what is important and what the class is interested in Zoom Conf Link: 6pm PST https://zoom.us/j/169548352

Taught by Dr. Michal Fabinger from Tokyo University. This class covers basics of deep learning in much greater depth than any of the online classes. This class is run online after work hours Sun-Thu starting at 6pm PST for 2h with a lecture/demo over Zoom Video Conference. The lectures are performed live from Tokyo Japan. This class is the same as taught in Tokyo University and is the same material as covered in a class spanning 1 year. Most of the online classes fail to cover basics from Statistics/Probability/Differential Geometry. Syllabus: https://tokyodatascience.com/deeplearning This class consists of 2 parts, the first part covering basics and review evolving to a second part which involves working on projects and implementing papers. Read section 4.3 and 8.3.1 of the Deep Learning book (https://www.deeplearningbook.org/ , freely available). The syllabus below is from a past class and may change based on evolution of what is important and what the class is interested in Zoom Conf Link: 6pm PST https://zoom.us/j/169548352

Deep learning is evolving quickly. Important new developments are appearing daily. This group attempts to keep up by reading and discussing current deep learning literature. This meetup uses discussion among the participants to speed understanding of current research results. That requires that some participants read the paper before attending. Anyone is welcome to attend and listen without reading the paper. If nobody reads the paper the meeting will be short. Papers that we're reading, code that participants generate and other random stuff can be found at github site for the group. mike-bowles/hdDeepLearningStudy (https://github.com/mike-bowles/hdDeepLearningStudy) https://arxiv.org/pdf/1904.01681.pdf - Augmented Neural ODE's