Blog-on-Digital-Transformation

Posts Tagged ‘TensorFlow’

Implementing k-means Clustering with TensorFlow

March 30, 2019 | 0 Comments | Sergey Kovalev...
With code samples, this tutorial demonstrates how to use the k-means algorithm for grouping data into clusters with similar characteristics.

Improving Facial Recognition with Super-Fine Attributes and TensorFlow

November 19, 2018 | 0 Comments | Carlo Gutierrez
Super-fine attributes (or multiple visual cues as age, height, etc.) seen in an image can be used to classify and create labels when hard biometrics aren't available.

TensorFlow.js: Deploying and Training Machine Learning Models Right in a Browser

October 9, 2018 | 0 Comments | Carlo Gutierrez
With this open-source library, users can build, train, test, and run machine learning models entirely in a web browser or under Node.js.

DataOps: The Challenges of Operating a Machine Learning Model

August 24, 2018 | 0 Comments | Sophie Turol...
This blog post highlights the challenges faced by data scientists at each step of the deep learning process, as well as overviews tools to resolve them.

Multimodal Sentiment Analysis with TensorFlow

August 22, 2018 | 0 Comments | Sophia Turol
A multimodal sentiment analysis poses an alternative to a conventional one, capable of processing text, visual, and audio data in a single workflow.

What It Takes to Build and Train Neural Networks for Autonomous Vehicles

June 22, 2018 | 0 Comments | Carlo Gutierrez...
This blog post explores how much data and what computational powers are needed to reach a sufficient accuracy of a machine learning model.

Three Approaches to Testing and Validating TensorFlow Code

June 14, 2018 | 0 Comments | Sophia Turol
Read about some assertion methods that may help to validate data shapes, graph structures, and numerical calculations of the TensorFlow code.

Natural Language Processing Saves Businesses Millions of Dollars

May 14, 2018 | 0 Comments | Sophie Turol
Here, we overview some scenarios and the means of machine learning that help to automate operations, enable time efficiency, cut overhead costs, etc.

Things That Matter When Building a Natural Language Chatbot

May 10, 2018 | 3 Comments | Carlo Gutierrez
Chatbots help to automate communication, streamline operations, get customer feedback, etc. Below are some recommendations for building a chatbot.

Approaches and Models for Applying Natural Language Processing

May 4, 2018 | 0 Comments | Sophia Turol
Natural language processing is actively used to recognize patterns, make predictions, produce content, reconstruct 3D models, etc.
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