Reports
Training Sequential Deep Learning Models
This report is part of the cdl1 challenge, where multi-class classification models are trained to predict the user's activity based on smartphone sensor data.
CNN to classify dogs vs. cats
This is a simple CNN trained on only 1000 images of dogs and cats that does binary classification.
Classifying Reviews using Word-Embeddings
IMDb Reviews are classified (positive, negative) using word-embeddings that are both pretrained and self-made. Neural network architectures include CNN and RNN.
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