30+ Best Practices
To intermediate/expert level deep-learning researchers, this course will appear like a 101 course which has more to do with breadth rather than depth. But, for university students like me, who are not new to Deep Learning, the excellence of this course lies in something else. This 15 hours course has added secret weapons to my arsenal which I could not find anywhere else. I am sharing a curated li
Keras 2 Released
Keras uses tensorflow by default, and you need to configure to use theano instead. If you’re using the official scripts for this course (setup_p2.sh) this is done for you by default. If not, here are the official docs for how to change it: https://keras.io/backend/ Just as a note, here are the changes I had to do on utils.py to get the lesson 1 working Keras 2 on Windows (likely same changes requi
Difference b/w Jeremy's VGG16 and Keras built in VGG 16
I was exploring Keras a bit further, and found that VGG16 is also available to be loaded directly from the Keras api: https://keras.io/applications/#vgg16 Upon inspecting the pre-trained network provided in platform.ai/models vs. the one available in keras, the two networks appear to have different architectures. For example, VGG16 provided by Jeremy has dropout layers in between the dense layers,
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