My first image classification, deep learning competition on Kaggle ended last night. It was Kaggle Planet and I finished 172/938 , unimpressive but pretty solid for a noob. It was a multilabel classification problem with 100k images from the Amazon Forest, for which I implemented a few state of the art architectures in Keras and ensembled their results. Help came from public kernels and forum topics, so a great learning experience on top of the fast.ai MOOC by Jeremy Howard and the latest Deep Learning with Python book by Francois Chollet. Now putting all together for a post-competition Jupyter notebook I can reuse for similar tasks in the future. Thanks, Kaggle!