Developer tools & open source

marcotav/deep-learning

Public crypto repository written primarily in Jupyter Notebook.

Imported listing
01 / What it does

What it does

marcotav/deep-learning is a public GitHub repository with Jupyter Notebook as its primary reported language. GitHub reports 54 stars and 23 forks at the latest snapshot. Its topics include bitcoin, convolutional-neural-networks, cryptocurrency, image-classification, keras, lstm-neural-networks. Read the repository documentation, license and current issues before using the software.

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 MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.

Original project description · GitHub
02 / GITHUB

GitHub repositories

Stars
54
Stars gained · 7 days
+0
Forks
23
Primary language
Jupyter Notebook
Repository license
Not checked
Last code push
16 Apr 2019

Popularity comes from GitHub stars. Seven-day growth appears after a full week of local snapshots; this is our collection, not GitHub’s official trending chart.

Sources & freshness

Sources & freshness

GitHub ↗Source refreshed · 15 Oct 2026

Imported records link to their sources. An entry is a discovery aid, not an endorsement.

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