A A A

Posts Tagged ‘TensorBeat’

Adopting TensorFlow for Manufacturing and Industrial Internet of Things

June 23, 2017 | 0 Comments | Sophia Turol
At TensorBeat 2017, a panel revealed the reasons behind TensorFlow adoption, exemplified real-life scenarios, and questioned the future of data.

Logical Graphs: Native Control Flow Operations in TensorFlow

June 22, 2017 | 0 Comments | Sophia Turol
This blog post explains how to create graphs with built-in logical branching structure so as to avoid extra complexity of the Python code.

Building a Chatbot with TensorFlow and Keras

June 13, 2017 | 0 Comments | Sophia Turol
This blog post overviews the challenges of building a chatbot, which tools help to resolve them, and tips on training a model and improving prediction results.

TensorFlow for Foreign Exchange Market: Analyzing Time-Series Data

June 9, 2017 | 0 Comments | Sophia Turol
This blog post features some insights on building a generative model for financial time-series data and implementing it with TensorFlow.

TensorFlow in the Cloud: Accelerating Resources with Elastic GPUs

June 6, 2017 | 0 Comments | Sophia Turol
Learn how to maximize the usage of computational powers when training a model with TensorFlow and Elastic GPUs.

Cross-Modal Machine Learning as a Way to Prevent Improper Pathology Diagnostics

May 29, 2017 | 0 Comments | Sophia Turol
This blog post explores how cross-modal learning may help to identify good vs. bad medical pathologies, thus improving diagnostics and treatment.

Monitoring and Visualizing TensorFlow Operations in Real Time with Guild AI

May 25, 2017 | 0 Comments | Sophia Turol
This blog post overviews a monitoring tool for TensorFlow enabling analysis of event logs, script output, command flags, system attributes and statuses, etc.

TensorFlow in Finance: Discussing Predictive Analytics and Budget Planning

May 23, 2017 | 1 Comment | Sophia Turol
Learn about such scenarios for using TensorFlow in finance as generating marketing strategies, predictive routing, income/expenses management, etc.

Deep Q-networks and Practical Reinforcement Learning with TensorFlow

May 19, 2017 | 2 Comments | Sophia Turol
Learn how to handle pitfalls of distributed learning, boost performance across multiple environments, and what toolkits come helpful on the way.
Select ON-SITE TRAINING