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CL Kim
online via Zoom
Saturday, October 16, 2021 - 9:00am

Image recognition, speech recognition, and natural language processing are among the challenging problems for which neural networks and deep learning can provide solutions.

• A neural network can learn the weights and biases of its artificial neurons from training examples using stochastic gradient descent.
• A backpropagation algorithm makes it practical to use neural networks to solve problems previously thought to be insoluble.
• Iterating a deep neural network over too many training epochs can result in overfitting, but there are ways to ameliorate that problem.

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GBC/ACM – The Greater Boston Chapter of the ACM

The Association for Computing Machinery (ACM), is the world’s largest educational and scientific computing society. It provides resources that advance computing as a science and a profession. The Greater Boston Chapter of the ACM (GBC/ACM) provides our community of professionals with current and practical information from the innovators themselves. We are a forum for collaborative learning that provides the community with free Evening Seminars and full day Professional Development Seminars that feature distinguished speakers and guests.

GBC/ACM has been one of the most active and successful chapters in the ACM worldwide since its founding in 1962. GBC/ACM is run by volunteers and we encourage your participation in achieving our ongoing mission.