laibert

3 ms·

1. 1.▲
   by laibert 9y ago

   Thanks! Haven't seen that paper, I'll check it out. I think quantization only helps with inference speed if the network is running on CPU with negligible gains on GPU (Tensorflow only supported CPU on mobile last I looked which wa
2. 2.▲
   by laibert 9y ago

   This is amazing - impressed by your persistence to source the training data yourself, that must have been tedious! Did you try quantizing the parameters to shrink the model size some more? If so, how did it affect the results? It also runs
3. 3.▲
   by laibert 10y ago

   This is the setup I recently made and has been working great so far. However, most of it was purchased on black friday - you can probably replace any of these components with comparable parts that are currently on sale. https://d
4. 4.▲
   by laibert 14y ago

   True. I'm not trying to diminish the importance of Apple hardware, but the design philosophy of the hardware is minimal because the software is the focal point. In the end, the phone is a rounded rectangle of varying degrees of thinness. IO
5. 5.▲
   by laibert 14y ago

   While my personal opinion regarding skeumorphic design falls very much in line with the author's, I don't think that there is a contradiction in Apple's design philosophy. The hardware is minimal because its true purpose is to let the softw
6. 6.▲
   by laibert 15y ago

   I'm not sure I understand how opening up classes to the online world would would affect the coursework of Stanford students. If the author felt that CS229a was not rigorous enough, he should have just taken CS229 whose problem sets could do
7. 7.▲
   by laibert 16y ago

   are you on High and Forest?!