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TensorFlow for Manufacturers: Building a 3D Rendering Engine

Sophie Turol

building-a-rendering-engine-with-tensorflow-polygonization-v26

Machine learning marches its way into a more and more broader pool of industries. The capabilities of TensorFlow are applied to an array of tasks from predicting wildfires to generating content.

At the recent meetup in San Francisco, the attendees learnt what pitfalls may come up when developing a rendering image and how TensorFlow helps out. In addition, the speaker from Autodesk exemplified how the company employs TensorFlow to categorize 3D data, enable robots to assemble structures, etc.

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Using Machine Learning and TensorFlow to Recognize Traffic Signs

Sophie Turol

traffic-sign-recognition-with-tensorflow-v12

This time, TensorFlow meetup in Silicon Valley offered the attendees a practical session aimed at enabling a neural network to classify traffic signs. With machine learning, the solution can be applied to recognize signs right on the go while driving in a car.

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The Diversity of TensorFlow: Wrappers, GPUs, Generative Adversarial Networks, etc.

Sophie Turol

deep-convolutional-generative-adversarial-networks-v2

Enjoying its popularity, TensorFlow is now used in a variety of areas (e.g., to style images or automate cucumber sorting). At the recent meetup in Paris, attendees learnt a number of TensorFlow use cases and related deep learning tools, as well as got familiar with generative adversarial networks.

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Analyzing Text and Generating Content with Neural Networks and TensorFlow

Sophie Turol

tensorflow-meetup-denver-2016

Can convolutional neural networks, typically used for image processing, accelerate text processing? Where do word embeddings come in here to help? How to generate unique content by using TensorFlow? This blog post explores these questions as discussed at the recent TensorFlow meetup in Denver.

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Machine Learning for Automating a Customer Service: Chatbots and Neural Networks

Sophie Turol

munich_tensorflow_meetup

How artificial intelligence and chatbots can drive the future? What are the hidden errors when training a neural network and how to cope with them? The answers to these questions were provided at the recent TensorFlow meetup in Munich.

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What Is Behind Deep Reinforcement Learning and Transfer Learning with TensorFlow?

Sophie Turol

tensorflow-madrid-v11

At the recent TensorFlow meetup in Madrid, the speakers explored the concept of deep reinforcement learning and learnt how to train a model with little data available.

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How TensorFlow Can Detect and Predict Wildfires

Sophie Turol

tensorflow-meetup-in-washington-dc-march-2016

At the recent Tensorflow meetup in Washington DC, the attendees learnt how TensorFlow can help in automating wildfire detection/prediction, as well as what’s underlying the TensorFlow four core concepts.

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How TensorFlow Can Help to Perform Natural Language Processing Tasks

Sophie Turol

tensorflow-meetup-in-silicon-valley-january-2016

At the recent TensorFlow meetup in Silicon Valley, one of the speakers showed some demos that depict natural language processing tasks in action. In addition, the attendees learnt how TensorFlow can be utilized to carry out such tasks.

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Recurrent Neural Networks: Classifying Diagnoses with Long Short-Term Memory

Sophie Turol

tensorflow_los_angeles

When training a recurrent neural network, one can face a bunch of challenges. Long short-term memory networks (LSTM) can come to a rescue, proving to be effective for learning from sequence data. These networks can be applied for modeling varying length sequences and capturing long-range dependencies.

At the recent TensorFlow meetup in Los Angeles, the attendees learnt how to use an LSTM network for modeling clinic data.

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Under-the-Hood Mechanisms of Neural Networks with TensorFlow

Sophie Turol

tensorflow_seattle

Neural networks are gaining their popularity for bringing image recognition and text processing to the next level. They can be applied in speech recognition, facial identification, reading emotions, sentiment analysis, disease diagnosis, etc.

At the recent TensorFlow meetup in Seattle, the attendees were plunged into the world of convolutional and recurrent neural networks, their under-the-hood mechanisms, and usage with TensorFlow, learning some handy tricks along the way.

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