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Past In-Person Learning Experiences

 

Monday, September 30 - 4:30pm
Location: Hudson Hall, 125
Instructor: Kevin Liang

TensorFlow is Google’s open-source framework for developing, learning and training neural networks, and it is widely employed.

Thursday, September 26 - 4:30pm
Location: Fitzpatrick Center (FCIEMAS), Schiciano Auditorium, Side A
Instructor: David Carlson

The basic concepts of neural networks are introduced, with a focus on intuition. The simpler and widely used logistic regression model is introduced first, and from this the neural network is introduced as a generalization.

Tuesday, September 24 - 4:00pm
Location: Bostock Library, 1st floor, Edge Workshop
Instructor: Nita Farahany

Artificial intelligence (AI) can reduce costs, improve efficiency, and potentially improve accuracy in many critical areas of life that impact humans. And yet, many of the tools of AI lack transparency, have inherent biases, and are difficult to govern.

Monday, September 23 - 4:30pm
Location: Bryan Research, 103
Instructor: Timothy Dunn

The convolutional neural network (CNN) represents the current state-of-the-art for image and video analysis, and is increasingly used for analyzing time series and other data with spatial or sequential structure.

Thursday, September 19 - 4:00pm
Location: Bostock Library, 1st floor, Edge Workshop
Instructor: Ricardo Henao

Generative adversarial networks (GANs) are a new tool in machine learning, that leverage advances in deep neural networks. Using GANs, one can develop a computer model that is capable of synthesizing highly realistic images, such as human faces and interesting art.

Wednesday, September 18 - 4:00pm
Location: Bostock Library, 1st floor, Edge Workshop
Instructor: Matthew Kenney

With recent advancements in natural language generation, AI models can now produce highly coherent generative text. In this IPLE, we will focus on creative and practical applications for language generation.

Tuesday, September 17 - 4:00pm
Location: Bostock Library, 1st floor, Edge Workshop
Instructor: Lawrence Carin

Reinforcement learning is a branch of machine learning, in which in algorithm learns a good policy for acting in an environment of interest, based on experience.

Wednesday, September 11 - 4:00pm
Location: Bostock Library, 1st floor, Edge Workshop
Instructor: Kevin Liang

TensorFlow is Google’s open-source framework for developing, learning and training neural networks, and it is widely employed.

Monday, September 9 - 4:00pm
Location: Bostock Library, 1st floor, Edge Workshop
Instructor: Lawrence Carin

Natural language processing (NLP) is a field focused on developing automated methods for analyzing text, and also for computer-driven text generation (synthesis, for example in translation). Neural networks have recently become the state-of-the-art method for NLP.

Thursday, September 5 - 4:00pm
Location: Bostock Library, 1st floor, Edge Workshop
Instructor: Timothy Dunn

The convolutional neural network (CNN) represents the current state-of-the-art for image and video analysis, and is increasingly used for analyzing time series and other data with spatial or sequential structure.