Jun 19, 2021 · I'm using the EfficientNet pre-trained model for my image classification project in Pytorch, and my purpose is to change the number of classes which is initially 1000 to 4. …

Aug 18, 2020 · I have successfully implemented EfficientNet integration and modelization for grayscale images and now I want to understand why it works. Here the most important aspect …

Sep 25, 2024 · I've been trying to do transfer learning in EfficientNet in a binary classification task. My directory structure looks like this: training ├── label0 └── label1 validation ├── label0 …

The efficientnet.tfkeras has 7 fewer non-trainable parameters than the tf.keras.applications model. The number of layers are not equal, the efficientnet.tfkeras has fewer layers than …

Jan 2, 2022 · Knowing that the total number of layers in EfficientNet-B0 is 237 and in EfficientNet-B7 the total comes out to 813, what is the total number of layers in EfficientNetB2 ?

May 9, 2023 · I am training a model with efficientnet pytorch and to reduce overfitting, I want to prune some of the parameters. My model is implemented as follows: import torchvision.models …

I am trying to use the EfficientNet model from tf.keras but for some reason this does not seem to work. import tensorflow.keras.applications as apps help (apps) does not list EfficientNetB0 as …

Nov 17, 2022 · 0 I am using EfficientNet and I want to remove TensorFlow dependencies from my code, and for this I want to make preprocess_input on my own.

Aug 14, 2021 · 0 To my opinion 5852 samples for training Efficientnet is far from enough. You also don't have enough data for validation. I train Efficientnet on more than million samples …

Mar 13, 2022 · I try to do transfer learning to efficientnet in tensorflow. I want to use noisy-student checkpoints instead of imagenet weights: model = …