Medium Blog Post Link: https://medium.com/training-convnet-on-small-binary-classified/training-a-convnet-with-limited-image-data-59b7f36e281a
Relevant Notebooks: p1-ConvNets_trains_vs_cars.ipynb
Medium Blog Post Link: https://medium.com/training-convnet-on-small-binary-classified/using-word-embeddings-and-recurrent-neural-networks-to-predict-rating-scores-from-text-93ba0a48bf82
Relevant Notebooks: p2-category_yelp.ipynb, p2-binary_yelp.ipynb
Medium Blog Post Link: https://medium.com/training-convnet-on-small-binary-classified/image-style-transfer-using-pre-trained-convnets-1c750c0cb458
Relevant Notebooks: p3-neural_style_transfer.ipynb
The majority of the code was run on an AWS EC2 p2.xlarge instance (Python 3.6 and Keras 2.0.8). The public DNS of this instance is ec2-18-219-45-93.us-east-2.compute.amazonaws.com.
- SSH into the instance.
ssh -i "data2040-dl.pem" [email protected]
- CD into the git repo and run jupyter notebook.
cd DATA2040-DLPython
jupyter notebook
- Go to the address below and ignore the warning by clicking advanced, then continue.
https://ec2-18-219-45-93.us-east-2.compute.amazonaws.com:8888
Based on Jupyter Notebooks from https://github.com/fchollet/deep-learning-with-python-notebooks