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.
Learn about the advantages of deep learning technologies for the classification of time series data and the benefits of distributed TensorFlow for model training.
After sufficient training, a model achieved better-than-human performance on the Pong games, demonstrating the potential of deep learning for high-level control.
Learn how convolutional neural networks enhance image classification and visual search by making edge detection, pixel segmentation, etc. more efficient.
