PPT-Symbolic/Neural

Reasoning With Declarative Knowledge William W Cohen Machine Learning Department Carnegie Mellon University Google joint with Fan Yang Zhilin Yang Kathryn Rivard Mazaitis What is intelligence. Kong Da, Xueyu Lei & Paul McKay. Digit Recognition. Convolutional Neural Network. Inspired by the visual cortex. Our example: Handwritten digit recognition. Reference: . LeCun. et al. . Back propagation Applied to Handwritten Zip Code Recognition. 1. Recurrent Networks. Some problems require previous history/context in order to be able to give proper output (speech recognition, stock forecasting, target tracking, etc.. One way to do that is to just provide all the necessary context in one "snap-shot" and use standard learning. Brains and games. Introduction. Spiking Neural Networks are a variation of traditional NNs that attempt to increase the realism of the simulations done. They more closely resemble the way brains actually operate. Serve as a representation of a specific person, act, deed, place or conflict. They are easily recognizable but not as common as situational archetypes.. The Archetypes Include: . Light vs. Darkness. CAP5615 Intro. to Neural Networks. Xingquan (Hill) Zhu. Outline. Multi-layer Neural Networks. Feedforward Neural Networks. FF NN model. Backpropogation (BP) Algorithm. BP rules derivation. Practical Issues of FFNN. Table of Contents. Part 1: The Motivation and History of Neural Networks. Part 2: Components of Artificial Neural Networks. Part 3: Particular Types of Neural Network Architectures. Part 4: Fundamentals on Learning and Training Samples. Week 5. Applications. Predict the taste of Coors beer as a function of its chemical composition. What are Artificial Neural Networks? . Artificial Intelligence (AI) Technique. Artificial . Neural Networks. Omid Kashefi. omid.Kashefi@pitt.edu. Visual Languages Seminar. November, 2016. Outline. Machine Translation. Deep Learning. Neural Machine Translation. Machine Translation. Machine Translation. Use of software in translating from one language into another. By, . . Sruthi. . Moola. Convolution. . Convolution is a common image processing technique that changes the intensities of a pixel to reflect the intensities of the surrounding pixels. A common use of convolution is to create image filters. of Ernest Bormann. 18. Symbolic Interaction Theory. . . VIRAL VIDEOS. How do videos go viral?. Symbolic Interaction Theory. Theory helps explain the relationships among. TASTEMAKERS. Recurrent Neural Network Cell. Recurrent Neural Networks (unenrolled). LSTMs, Bi-LSTMs, Stacked Bi-LSTMs. Today. Recurrent Neural Network Cell.  .  .  .  . Recurrent Neural Network Cell.  .  .  . Psychology 209 – Winter 2017. March 7, 2017. The DNC architecture. Key features of the architecture. Indefinite memory size (Turing). Accurate storage of long lists of items after a single presentation. 18. The Symbolic Toolbox. 2. The Symbolic Toolbox. MATLAB has a set of built-in commands that allow us to work with functions in a fashion similar to Mathematica. .. For more on the commands available, type “help Symbolic Toolbox”.. Michelle Caswell, PhD. Assistant Professor, UCLA. Co-Founder, SAADA. Practical Problem: . How do we assess the impact of community archives?. 2,525 records (and growing). ~. 200,000 unique . visitors in 2014.