30dayML: Day20

Spent quite a bit of time re-writing / adjusting my cat-or-dog CNN network. Now I have an easy way to feed images to the model. Accuracy is still less than 50% though. Hyper-parameter tuning, here I come!

On a side note: Now I see why I should have GPUs. Each run takes 30 to 60 minutes. 

Once I do get to some acceptable accuracy (>90%), I'll move on to RNNs and Voice recognition. Although I still don't know much about Tensorflow high level APIs. OR should I learn Keras? Uggh.

Mood: Sherlock Holmes