This blog post discusses deep reinforcement learning, the use of artificial neurons in TensorFlow, as well as training a model with little data through transfer learning.
Artificial neural networks can be used to mimic human analyst classifications and then applied to the data from remote-sensing satellites for wildfire prediction.
Learn about the capabilities of convolutional and recurrent neural networks, their application to image captioning, as well as the implementation in TensorFlow.
Dr. Venu Vasudevan outlined the complex nature of building predictive analytics into the Industrial Internet of Things (IIoT). Uncovering some fundamental issues and truths, he stressed it's not only about data, but transformation, as well.
Learn about the advantages of deep learning technologies for the classification of time series data and the benefits of distributed TensorFlow for model training.
