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All Projects → marcotav → deep-learning

marcotav / deep-learning

Licence: other
Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

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bitcointensorflowkerascryptocurrencyimage-classificationconvolutional-neural-networkstransfer-learninglstm-neural-networks

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Deep Learning Projects

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Notebooks and descriptions • Contact Information

Notebooks and descriptions

Project Brief Description
painter-identifier I built a Convolutional Neural Net to identify the artist of a painting via transfer learning, instantiating the convolutional part of the Inception V3 model, and training a fully-connected network on top.
bitcoin-price-analysis I built predictive models for Bitcoin price data using recurrent neural networks (LSTMs). Correlations between altcoins are also considered.
keras-tf-tutorial Neural networks tutorial where I build fully-connected networks and convolutional neural networks using both Keras and TensorFlow respectively (in progress).
transfer-learning-mini-tutorial I illustrate the use of transfer learning using the Inception V3 deep neural network model.

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