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The Keras backend is Tensorflow, and the model comes from Keras example: https://github.com/keras-team/keras/blob/master/examples/imdb_lstm.py
I am trying to convert Keras model (*.h5) to freeze gr…
hozen updated
6 years ago
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We should implement the PyTorch backend (#1014) and an option for full end-to-end differentiable operation so that [Neftci et al. (2019)](https://arxiv.org/abs/1901.09948) method can be used for train…
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Hi I'm trying this visualisation library and ran on a simple MNIST network.
I'm comparing activation maximisation used here from the the one described here: https://blog.keras.io/how-convolutional-…
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Dear developers,
thanks for intersting work.
I am considering to use deep learning model into FEM modeling by using ABAQUS. I want to use a deep learning model (that prior trained by other language,…
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## Description
Implement MNIST dataset using Convolutional Neural Networks (CNNs). Use Max Pooling Layers, Conv2d layers, Dense layers.
Use your own strategy and try to achieve the maximum possible …
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|paper| [Fully Convolutional Networks for Semantic Segmentation](https://openaccess.thecvf.com/content_cvpr_2015/html/Long_Fully_Convolutional_Networks_2015_CVPR_paper.html) |
|c…
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**System information**.
TensorFlow version (you are using): 2.8
Are you willing to contribute it (Yes/No) : Yes
**Describe the feature and the current behavior/state**.
The `VarianceScaling` initia…
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I noticed that the current toolkit only supports Conv2D and Dense models. But in practical application and research, we often use time series data to predict. So I want to know whether this theory is …
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**Task** Trying to register fixed and moving image.
I am trying to use the register.py function on terminal via the following "./scripts/tf/register.py --moving ./scripts/tf/Target.nii.gz --fixed .…
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I will provide a brief overview of the Architectures of most common CNNs. I will also explain the brief functionality and the need of such architectures. I will also try to keep the models in historic…