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A 2019 Guide for Automatic Speech Recognition
In this article, we’ll look at a couple of papers aimed at solving the problem of automated speech recognition with machine and deep learning.
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A 2019 Guide to Speech Synthesis with Deep Learning
In this article, we’ll look at research and model architectures that have been written and developed to do just that using deep learning.
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A 2019 Guide to Human Pose Estimation
Human pose estimation refers to the process of inferring poses in an image. Essentially, it entails predicting the positions of a person’s joints in an image or video. This problem is also sometimes referred to as the localization of human joints.
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A 2019 Guide to Semantic Segmentation
Semantic segmentation refers to the process of linking each pixel in an image to a class label. These labels could include a person, car, flower, piece of furniture, etc., just to mention a few. We’ll now look at a number of research papers on covering state-of-the-art approaches to building semantic segmentation models.
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A 2019 Guide to Object Detection
Object detection has been applied widely in video surveillance, self-driving cars, and object/people tracking. In this piece, we’ll look at the basics of object detection and review some of the most commonly-used algorithms and a few brand new approaches, as well.
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Object Detection with Luminoth
In this article you will learn about Luminoth, an open source computer vision library which sits atop Sonnet and TensorFlow and provides object detection for images and video.
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Using Caret in R to Classify Term Deposit Subscriptions for a Bank
This article uses direct marketing campaign data from a Portuguese banking institution to predict if a customer will subscribe for a term deposit. We’ll be working with R’s Caret package to achieve this.
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Automated Machine Learning in Python
An organization can also reduce the cost of hiring many experts by applying AutoML in their data pipeline. AutoML also reduces the amount of time it would take to develop and test a machine learning model.
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Sales Forecasting Using Facebook’s Prophet
In this tutorial we’ll use Prophet, a package developed by Facebook to show how one can achieve this.
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Introduction to PyTorch for Deep Learning
In this tutorial, you’ll get an introduction to deep learning using the PyTorch framework, and by its conclusion, you’ll be comfortable applying it to your deep learning models.
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