I was working on a way to display my college archive photos using Machine learning. So i decided to use Deep learning and Visualise the embeddings using TSNE.
I found out that tensor board is quite hard to work with , so I just wrote a simple project to use their standalone embedding projector without having to use tensorflow.
Also, you can share your visualisations without having a sever !!
Could you show an example of what the preds are? I know it is a numpy array (from Keras Docs) but I am just not sure how it is composed. Iād like to know in order to use the model I trained with fastai.
When we use predict() in fastai, it returns a tensor with the probabilities for all classes, but I am not really sure what is the return in Keras.