04.04.2020 · For tensorflow<=2.3.1, there's a bug that would cause the L2 model to not load correctly. To use it, apply the following hack: model = efn.EfficientNetL2 ( weights="./efficientnet-l2_noisy-student_notop.h5", include_top=False, drop_connect_rate=0 # the hack ) the bug is related to the dropout layers in the efn l2.
28.06.2020 · You can get around this by calling efficientnetL2 with the parameter drop_connect_rate=0.05. However, there will be new errors when the weights for L2 are downloaded. In the weights file, there is no key for efficientnet-l2. Checking …
Add EfficientNet-V2 official model defs w/ ported weights from official ... EfficientNet NoisyStudent (B0-B7, L2) - https://arxiv.org/abs/1911.04252 ...
10.08.2018 · Why does my code throwing KeyError: 'epochs' when I implemented Fully Convolutional ... import plot_model import shutil import matplotlib.pyplot as plt from pylab import * from keras.regularizers import l2 from keras.layers import * from keras.engine import Layer from keras.applications.vgg16 import * from keras.models ...
EfficientNets achieve state-of-the-art accuracy on ImageNet with an order of magnitude better efficiency: In high-accuracy regime, our EfficientNet-B7 achieves state-of-the-art 84.4% top-1 / 97.1% top-5 accuracy on ImageNet with 66M parameters and 37B FLOPS, being 8.4x smaller and 6.1x faster on CPU inference than previous best Gpipe.. In middle-accuracy regime, our …
Source code for monai.networks.nets.efficientnet ... can be from [efficientnet-b0, ..., efficientnet-b8, efficientnet-l2]. pretrained: whether to initialize ...
layer in the efficientnet model. """EfficientNet's forward function. Calls extract_features to extract features, applies final linear layer, and returns logits. inputs (tensor): Input tensor. Output of this model after processing. """Create an efficientnet model according to name.