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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
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tensorflow: 2.8.0
tfra: 0.6.0
* I download my demo, the path is demo/dynamic_embedding/movielens-1m-keras-ps/movielens-1m-keras-ps.py。
Acoording to the file, I sh start.sh ,The bug is show 。
![…
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Hello. I want to know if there are possibilities that DeepFM model could ignore missing values without encoding them.
My concern is that after a bit modification i wanted to use Factorization Machi…
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**Describe the bug**
Running the attached ONNX model on GPU gives an runtime error related to the keras.Upsampling3D Operator with an input larger than 100^3. Using a depth 1 model with otherwise the…
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I imported this project to TF 2.0 and normalized X_train and X_test data before saving my model. Then i tried to do predictions on normalized X_val file. But i get **this error** for **pred = model.pr…
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### 1. System information
Operating System: Ubuntu 18.04.5 LTS
Kernel: Linux 5.4.0-60-generic
Architecture: x86-64
GPU: 2x Nvidia Quadro RTX8000
cuda: v11.0
Tensorflow v2.4.0 (installed throug…