Jurica Seva
authored
Started working on a pipeline using all data. Issues with memory (RAM) while generating one-hot label encodings. Solutions: use data generators to train via fit_generator. Examples: https://github.com/keras-team/keras/issues/1627 https://www.kaggle.com/ezietsman/simple-keras-model-with-data-generator https://stanford.edu/~shervine/blog/keras-how-to-generate-data-on-the-fly.html
Name | Last commit | Last update |
---|---|---|
.idea | ||
code_jurica | ||
code_mario | ||
paper | ||
paperwork | ||
.gitignore | ||
requirements.txt |