A very quick introduction to building a foundation in probability theory for understanding machine/deep learning

Искусственный интеллект: как он есть и каким он должен быть.

По определению, к задачам искусственного интеллекта относятся все задачи, не имеющие точного алгоритмического решения.

Вот и давайте поговорим про нейронные сети, генетические алгоритмы, задачи…

Information Theory

Supervised machine learning is often described as the problem of approximating a target function that maps inputs to outputs.

This denoscription is characterized as searching through and evaluating candidate hypothesis from hypothesis spaces.

The discussion…

A guide to the less desirable aspects of deep learning environment configurations

Few months ago I mentioned some of the exciting new features that will be included in TensorFlow 2.0.

Skills in deep learning are in great demand, although these skills can be challenging to identify and to demonstrate.

Explaining that you are familiar with a technique or type of problem is very different to being able to use it effectively with open source…

Syndicated from Springboard.

By Joseph Lee Wei En A step-by-step guide to setting up Python for a complete beginner You can code your own Data Science or Deep Learning project in just a couple of lines of code these days. This is not an exaggeration; many programmers out there ...

Deep neural network (DNN) models such as BigGAN, BERT, and GPT 2.0 have demonstrated that larger DNN models produce better task…

Using a convolutional neural network to measure trannoscription factor-DNA binding

This post is the third post of the NLP Text classification series.

Computer vision is perhaps one area that has been most impacted by developments in deep learning.

It can be difficult to both develop and to demonstrate competence with deep learning for problems in the field of computer vision. It is not clear how to…

An Autonomous method of finding objects

Unsupervised learning is the most exciting subfield of machine learning! Finding structure in unstructured data automatically sounds like a dream come true, no need to have a label! In this video, I'll demonstrate 2 types of unsupervised learning techniques;…

10 data articles handpicked by the Sicara team, just for you

Posted by Johan Schalkwyk, Google Fellow, Speech Team In 2012, speech recognition research showed significant accuracy improvements with deep learn...

Перевод Demystifying Convolutional Neural Networks. Свёрточные нейросети. В прошлом десятилетии мы наблюдали удивительный и беспрецедентный прогресс в сфере к...