| {0: 'tench, Tinca tinca', | |
| 1: 'goldfish, Carassius auratus', | |
| 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias', | |
| 3: 'tiger shark, Galeocerdo cuvieri', | |
| 4: 'hammerhead, hammerhead shark', | |
| 5: 'electric ray, crampfish, numbfish, torpedo', | |
| 6: 'stingray', | |
| 7: 'cock', | |
| 8: 'hen', | |
| 9: 'ostrich, Struthio camelus', |
| import theano | |
| import lasagne.layers | |
| from lasagne.layers import Conv2DLayer as C2D | |
| from lasagne.nonlinearities import rectify as relu | |
| from lasagne.layers import NonlinearityLayer as NL | |
| from lasagne.layers import ElemwiseSumLayer as ESL | |
| from lasagne.layers import batch_norm as BN | |
| l_in = lasagne.layers.InputLayer(shape=(None,3,64,64)) # Assume incoming shape is a batch x RGB x W x H image | |
| encoder_stem = C2D( |
Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.
This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would
