Essays about: "Memory augmented neural networks"
Found 5 essays containing the words Memory augmented neural networks.
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1. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. READ MORE
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2. Memory and Reasoning in Deep Learning : Data efficiency of the SAM-based Two-memory (STM) Model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Developing Deep Learning models capable of learning to reason and store memories are some of the most important current challenges in AI research. Finding out which network architectures are best suited for tackling this problem can guide research toward the most promising approaches. READ MORE
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3. Improving Training of Differentiable Neural Computers on Time Series
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Memory Augmented Neural Networks (MANN) is a hot research area within deep learning. One of the most promising MANN is the Differentiable Neural Network (DNC) which is able to learn, in a fully differentiable way, how to represent and store data into an external memory. READ MORE
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4. Gauntlet-X1: Smart Glove System for American Sign Language translation using Hand Activity Recognition
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The most common forms of Human Computer Interaction (HCI) devices these dayslike the keyboard, mouse and touch interfaces, are limited to working on atwo-dimensional (2-D) surface, and thus do not provide complete freedom ofaccessibility using our hands. With the vast number of gestures a hand can perform,including the different combinations of motion of fingers, wrist and elbow, we canmake accessibility and interaction with the digital environment much more simplified,without restrictions to the physical surface. READ MORE
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5. Video classification with memory and computation-efficient convolutional neural network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Video understanding involves problems such as video classification, which consists in labeling videos based on their contents and frames. In many real world applications such as robotics, self-driving car, augmented reality, and Internet of Things (IoT), video understanding tasks need to be carried out in a real-time manner on a device with limited memory resources and computation capabilities, while meeting latency requirement. READ MORE
