Machine Learning Archives | Page 6 of 12

Deep Learning for Cybersecurity: Identifying Anomalies and Malicious ...

March 21, 2017 | 0 Comments | Sophia Turol

Learn how to treat categorical data, as well as use generative models and other means to enable better cybersecurity.

Natural Language Processing and TensorFlow Implementation Across ...

March 14, 2017 | 0 Comments | Sophia Turol

Being in the limelight of machine learning, TensorFlow is widely adopted in finance, healthcare, manufacturing, custom services, and other industries.

Optical Character Recognition with One-Shot Learning, RNN, and ...

March 9, 2017 | 5 Comments | Sophia Turol

Straightforwardly coded into Keras on top TensorFlow, a one-shot mechanism enables token extraction to pluck out information of interest from a data source.

Enabling Multilingual Neural Machine Translation with ...

March 2, 2017 | 0 Comments | Sophia Turol

The TensorFlow ecosystem offers an array of software patterns that can add value to a AI-based project. The question is to identify the one that will work.

TensorFlow for Manufacturers: Building a 3D Rendering ...

January 31, 2017 | 1 Comment | Sophia Turol

With TensorFlow code samples, this blog post breaks down the process of polygonization used to build graphic applications, such as rendering engines.

2016–2017 Trends: Neo-AI and ...

January 9, 2017 | 0 Comments | Roger Strukhoff

We're in the third wave of artificial intelligence and the technology approaches that complement it. Now, the movement seems more focused. However, it can also lead to suspicions about the role of technology in the economy.

Introduction to Neural Networks and Metaframeworks with ...

January 5, 2017 | 0 Comments | Roger Strukhoff

This blog post highlights what it takes to train a recurrent / convolutional neural network, explores metaframeworks, identifies four unique object types, etc.

2016–2017 Trends: Top 10 Issues of Enterprise ...

December 29, 2016 | 2 Comments | Roger Strukhoff

The year 2016 has been unusual in many respects. Lost in all the political drama may be some highly significant trends within the enterprise IT industry, worldwide.