Posts Tagged ‘TensorFlow’

How TensorFlow Can Help to Perform Natural Language Processing Tasks

October 12, 2016 | 0 Comments | Sophia Turol
With TensorFlow APIs, one is able to accomplish such natural language processing tasks as word embedding, part-of-speech tagging, translation, etc.

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

September 7, 2016 | 0 Comments | Sophia Turol
Learn about the challenges of training a recurrent neural network, such as vanishing gradients, and ways to address them with long short-term memory.

Under-the-Hood Mechanisms of Neural Networks with TensorFlow

September 1, 2016 | 0 Comments | Sophia Turol
Learn about the capabilities of convolutional and recurrent neural networks, their application to image captioning, as well as the implementation in TensorFlow.

Distributed TensorFlow and Classification of Time Series Data Using Neural Networks

August 8, 2016 | 0 Comments | Sophia Turol
Learn about the advantages of deep learning technologies for the classification of time series data and the benefits of distributed TensorFlow for model training.

Learning Financial Data and Recognizing Images with TensorFlow and Neural Networks

August 5, 2016 | 0 Comments | Sophia Turol
Explore how to employ advancements in the recurrent neural networks and TensorFlow to learn patterns in financial markets more efficiently.

Learning Game Control Strategies with Deep Q-Networks and TensorFlow

After sufficient training, a model achieved better-than-human performance on the Pong games, demonstrating the potential of deep learning for high-level control.

Using Multi-Threading to Build Neural Networks with TensorFlow and Apache Spark

July 8, 2016 | 0 Comments | Sophia Turol
Learn about neural network hyperparameters, the efficiency of Apache Spark with TensorFlow, and distributed machine learning.

Using Convolutional Neural Networks and TensorFlow for Image Classification

June 30, 2016 | 0 Comments | Sophia Turol
Learn how convolutional neural networks enhance image classification and visual search by making edge detection, pixel segmentation, etc. more efficient.

Using Recurrent Neural Networks and TensorFlow to Recognize Handwriting

June 24, 2016 | 0 Comments | Sophia Turol
Learn how combining recurrent neural networks with TensorFlow can help in handwriting recognition, basic mathematical calculations, and sine wave modeling.

Experimenting with Deep Neural Networks for X-Ray Image Segmentation

June 20, 2016 | 0 Comments | Sergey Kovalev
Learn how neural networks and deep learning frameworks such as Caffe can help with identifying diagnoses based on X-ray images.