Outlining four major blockchain layers, Arthur Breitman of Tezos spoke on the challenges brought along by centralized and decentralized ledgers, censorship sensitivity, and governance.
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.
Learn how convolutional neural networks enhance image classification and visual search by making edge detection, pixel segmentation, etc. more efficient.
Learn how combining recurrent neural networks with TensorFlow can help in handwriting recognition, basic mathematical calculations, and sine wave modeling.
