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1 vote
0 answers
107 views

I'm trying to apply the first technique described here (https://arxiv.org/abs/1510.00149). Basically I want to lighten a ResNet Convolutional network modifying the way in which the weights are stored ...
ceradini's user avatar
  • 475
0 votes
1 answer
776 views

I need to classify small images in 4 different categories, +1 "background" for false detection. While training the loss quickly drop to 0.7, but stay there even after 800k steps. In the end, ...
Robin D.'s user avatar
0 votes
0 answers
115 views

Multi-labeled image classification using 'inception resnet v2' model. I'm changing the required part to a sigmoid. Beyond a certain number of studies, it shows results such as softmax. The code is ...
AZDDKKS's user avatar
  • 41
0 votes
1 answer
118 views

I am trying to use the inception_v1 module written in tf.slim provided here to train the model on CIFAR 10 dataset. The code to train and evaluate the model on the dataset is below. # test_data = (...
Dimimal13's user avatar
1 vote
1 answer
686 views

I am aiming to inference tensorflow slim model with Intel OpenVINO optimizer. Using open vino docs and slides for inference and tf slim docs for training model. It's a multi-class classification ...
varankou's user avatar
  • 891
0 votes
1 answer
781 views

I am trying to use mixed-precision training with tf-slim in order to speed up the training of networks and make use of the tensorcores available on my GPUs. I also want to make use of multiple network ...
AnLu's user avatar
  • 1
0 votes
0 answers
2k views

I currently retrained an ssd mobile net v2 model using the tutorial. I ran the following in command line to execute the retraining. It retrained the entire model. (tensorflow) c:\models-master\...
Sade's user avatar
  • 511
5 votes
1 answer
4k views

I'm trying to run MobileNet_v1 on ImageNet and for that I'm using the official Tensorflow Model repository and following their guide. However when I actually tried to run the training for MobileNet_v1 ...
Hossein's user avatar
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6 votes
1 answer
2k views

I'm attempting to train a tensorflow model based on the popular slim implementation of mobilenet_v2 and am observing behaviour I cannot explain related (I think) to batch normalization. Problem ...
DomJack's user avatar
  • 4,203
0 votes
1 answer
257 views

The following code that uses the TF-Slim library to load a model and finetune it achieves a performance of 90% in a classification task (I omitted loading the data and preprocessing): with slim....
Francisco Salgado's user avatar
2 votes
0 answers
541 views

I am using tf.estimator.Estimator to train my model. I would now like to try a pre-trained inception_v3 in place of my current model. I stumbled upon this repository that seems to have all the models ...
Pfaeff's user avatar
  • 115
-3 votes
1 answer
436 views

I'm trying to follow this tutorial enter link description hereon transfer learning, I used my own dataset , and I'm trying to use MobileNet instead to inception , the problem is in the MobileNet ...
nassima dif's user avatar
1 vote
1 answer
2k views

Is there any way that I can log the validaton loss and accuracy to tensorboard when using tf-slim? When I was using keras, the following code can do this for me: model.fit_generator(generator=...
Abraham Ben's user avatar
1 vote
1 answer
2k views

I have an assignment that leverages tf-slim for inception. We are supposed to train a new model using a predefined architecture and pretrained weights. The example code looks like the following. ...
Joey Carson's user avatar
  • 3,143
1 vote
1 answer
591 views

I am trying to fine-tune inceptionv3 model using slim tensorflow library. I am unable to understand certain things while writing the code for it. I tried to read source code (no proper documentation) ...
talos1904's user avatar
  • 992

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