In this post, I'll discuss an overview of deep learning techniques for object detection using convolutional neural networks. Object detection is useful for understanding what's in an image, describing both what is in an image and where those objects are found.

The choice of a statistical hypothesis test is a challenging open problem for interpreting machine learning results. In his widely cited 1998 paper, Thomas Dietterich recommended the McNemar's test in those cases where it is expensive or impractical to train…

Американский союз гражданских свобод (American Civil Liberties Union, ACLU) продолжает кампанию против использования систем распознавания лиц федеральными аген...

Simple Tensorflow implementation of FusionGAN (CVPR 2018) - taki0112/FusionGAN-Tensorflow

Mail.ru уже не первый год проводит чемпионаты по машинному обучению, каждый раз задача по-своему интересна и по-своему сложна. Я участвую в соревнованиях четверт...

Matt Hergott’s Deep Learning Blog

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

The fast.ai co-founder has the 105th score in Kaggle's plant classification contest, but he's dropping. Why? His students are beating him. Learn their techniques.

Python continues to take leading positions in solving data science tasks and challenges. Last year we made a blog post overviewing the…

By Pete Warden, Software Engineer

** AI & Deep Learning Using TensorFlow - https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka video will provide you with a detailed and comprehensive knowledge of TensorFlow Object detection and how it works. It will also provide you with…

When you are presented with a new time series forecasting problem, there are many things to consider. The choice that you make directly impacts each step of the project from the design of a test harness to evaluate forecast models to the fundamental difficulty…

Время пополнять копилку хороших русскоязычных докладов по Machine Learning! Копилка сама не пополнится! В этот раз мы познакомимся с увлекательным рассказом Ан...

предыдущие главы 15. Одновременная оценка нескольких идей во время анализа ошибок У вашей команды есть несколько идей, как улучшить определитель кошек в вашем приложении: Решить проблему с тем, что...

You are handed data and told to develop a forecast model.

What do you do?

This is a common situation; far more common than most people think.


Perhaps you are sent a CSV file.

Perhaps you are given access to a database.

Perhaps you are starting…

By Yash Katariya, Developer Programs Engineer Intern

A final machine learning model is one trained on all available data and is then used to make predictions on new data. A problem with most final models is that they suffer variance in their predictions. This means that each time you fit a model, you get a…

Сегодня мы хотим поговорить об интернете вещей (IoT) и о промышленном интернете вещей (IIoT), а также о том, как Splunk связан с этим. Сначала разберемся с о...