最新大使亮点

探索学生大使们从事的项目,例如:机器人汽车、自动图像字幕、自然语言处理、自我意识的机器等。

39 个搜索结果

Cash Recognition for the Visually Impaired: Part 2

发布时间:2018 年 12 月 4 日

Cash Recognition for Visually Impaired is an attempt to make daily monetary transactions easier for visually impaired individuals in Nepal using deep learning technology. In Nepal, the monetary cash notes don’t have...

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Compression and Acceleration of High-dimensional Neural Networks

发布时间:2018 年 11 月 15 日

An introduction to compression and acceleration of deep neural networks for resource-efficient inference.

Neural Style Transfer on Audio Signals

发布时间:2018 年 11 月 1 日

This article shows how to extend and modify an algorithm for audio signals using convolutional neural networks.

Deep Learning for Natural Language Processing

发布时间:2018 年 10 月 25 日

TensorFlow* implementations of various deep learning models with a focus on problems in natural language processing

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Efficient Computation on the Edge

发布时间:2018 年 10 月 1 日

Present learning representations to classify age and gender by using deep-convolutional neural networks.

Code Sample: Optimizing Binarized Neural Networks on Intel® Xeon® Scalable Processors

发布时间:2018 年 8 月 14 日

In the previous article, we discussed the performance and accuracy of Binarized Neural Networks (BNN). We also introduced a BNN coded from scratch in the Wolfram Language. The key component of this neural network is Matrix Multiplication.

Knowledge Distillation with Keras*

发布时间:2018 年 8 月 9 日

The problem that we are facing right now is that we have built sophisticated models that can perform complex tasks, but the question is, how do we deploy such bulky models on our mobile devices for instant usage...

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Binary Neural Networks

发布时间:2018 年 8 月 8 日

Binary neural networks are networks with binary weights and activations at run time. At training time these weights and activations are used for computing gradients; however, the gradients and true weights are stored in...

Deep Learning Bengali Character Recognition from Real-World Images

发布时间:2018 年 8 月 2 日

The aim of this project is to apply deep learning models for recognition of Bengali characters and numerals. For training we used publicly available datasets. We also explore how to develop a complete Bengali character recognizer

Transfer Learning in Natural Language Processing

发布时间:2018 年 7 月 24 日

Transfer Learning was limited to computer vision up till now, but recent work shows that the impact can be extended almost everywhere, including natural language processing (NLP).

迁移学习在自然语言处理中的应用

发布时间:2018 年 7 月 24 日

到目前为止,迁移学习仅限于计算机视觉,但最新研究表明,迁移学习的影响几乎无处不在,其中包括自然语言处理 (NLP)。

Using Natural Language Processing for Smart Question Generation

发布时间:2018 年 7 月 4 日

Introduction

Automatic question generation is part of Natural Language Processing (NLP). It is an area of research where many researchers have presented their work and is still an area under research to achieve higher accuracy. Many researchers...

heat maps of multiple lungs

Deep Learning: Build a Black Box Model for Medical Professionals

发布时间:2018 年 7 月 2 日

Building a Black Box Model Using Transfer Learning Introduction

In the 21st century, the years of big data and big innovations in medicine, we frequently hear about artificial intelligence (AI) solutions based on statistical and machine...

steel plate deformities examples

Use Machine Learning to Detect Defects on the Steel Surface

发布时间:2018 年 6 月 27 日

This article provides an effective and robust approach to detect and classify metal defects using computer vision and machine learning.

Part 1: Using Transfer Learning to Introduce Generalization in Models

发布时间:2018 年 6 月 25 日

This paper compares different ideas and methods that are used heavily in Machine Learning to determine what works best. These methods are prevalent in various domains of Machine Learning, such as Computer Vision and Natural Language Processing (NLP).

Improving Cycle-GAN using Intel® AI DevCloud

发布时间:2018 年 6 月 22 日

In this article, we will see some scope for optimization in Cycle-GAN for unpaired image-to-image translation, and come up with a new architecture.

Keras* Implementation of Siamese-like Networks

发布时间:2018 年 6 月 19 日

This guide will help you to write complex neural networks such as Siamese networks in Keras. It also explains the procedure to write your own custom layers in Keras.

Understanding Capsule Network Architecture

发布时间:2018 年 6 月 19 日

Capsule networks (CapsNet) are the new architecture in neural networks, an advanced approach to previous neural network designs, particularly for computer vision tasks. To date, convolutional neural networks (CNN) have...

RAIL: Risk-Averse Imitation Learning System

上次更新时间:2018 年 6 月 13 日视频时长:2 分钟

Present a Risk-Averse Imitation Learning (RAIL) algorithm as an alternative to Generative Adversarial Imitation Learning (GAIL) for improved reliability in risk-sensitive applications.

Automating Wildlife Image Processing Using IoT and the Intel® Movidius™ Neural Compute Stick

上次更新时间:2018 年 6 月 12 日视频时长:1 分钟

The design and implementation of Where's The Bear (WTB), an end-to-end, distributed, IoT system for wildlife monitoring.

Deep Learning for Cryptocurrency Trading

上次更新时间:2018 年 6 月 12 日视频时长:2 分钟

The project Deep Learning for Cryptocurrency Trading is focused on utilizing sentiment analysis on social outputs related to Cryptocurrencies on Reddit* and Twitter*.

A CLass-Enhanced Attentive Response (CLEAR) Approach to Understand Deep Neural Networks

上次更新时间:2018 年 6 月 12 日视频时长:4 分钟

We propose CLass-Enhanced Attentive Response (CLEAR): an approach to visualize and understand the decisions made by deep neural networks (DNNs) given a specific input.

Bruna Maciel Pearson

Towards Autonomous UAV Flight in Cluttered Forestry Environments

上次更新时间:2018 年 6 月 11 日视频时长:2 分钟

An approach for automatic trail navigation with an Unmanned Aerial Vehicle (UAV).

Self Driving Vehicles and Risk Analysis

上次更新时间:2018 年 6 月 11 日视频时长:3 分钟

We show a method to create a guidance solution based upon system risk for a system’s goal.

My Takeaways From Intel® AI DevCon

发布时间:2018 年 6 月 6 日

Intel Artificial Intelligence Developer Conference (AIDC) was a two-day conference that took place at the San Francisco Palace of Fine Arts on May 23-24, 2018. Unlike most conferences held by tech companies, this conference was highly technical...

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