Comments (3)
jeffheaton
commented on June 24, 2024
1
Not sure CONDA has released 2.2 yet for Windows; they had not at the time that I wrote these instructions.
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Atharv17
commented on June 24, 2024
okay , actually i am trying to do transfer learning of Unets using segmentation models so for that it required tensorflow 2.2.0 or higher version
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jeffheaton
commented on June 24, 2024
Yes I just checked, Anaconda forge is at 2.1 for Windows. I do wish they would not get so far behind, CoLab is at 2.3 already. You would need to install the drivers system level and install right from PIP, would be the best option to get 2.2 or 2.3. But the templates I have here for the class won't work for that until 2.2 is released in anaconda forge.
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Related Issues (20)
- Win 11 install HOT 1
- remove 'env' from 'conda env create...' in installation guide HOT 1
- A small mistake in 03_2_keras HOT 1
- Keras needs to be replaced with PyTorch in 3_3 HOT 1
- Running Early Stopping with Classification on an M1 Max early stop is not triggered HOT 2
- Running instalation step by step HOT 3
- t81_558_class_07_2_train_gan source file HOT 1
- Error: failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected HOT 2
- Error: update_endpoint is a no-op in sagemaker>=2. See: https://sagemaker.readthedocs.io/en/stable/v2.html for details. HOT 1
- Trying to install conda environment from yml file fails. Manual installation works fine HOT 1
- Runtime error with import keras in notebook 6.2 HOT 1
- Random AssertionErrors & Output stops working HOT 2
- Error when fit model executes HOT 2
- regarding pytorch branch folder install file torch.yml (not sure if it is an issue) HOT 1
- CuDNN version conflict after following WSL install instructions HOT 1
- typo in module 2, part 2.5 HOT 1
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- GPU Accelaretaing for non-NVIDIA GPU devices
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- tensorflow > 2.14 no longer supports tf.keras.__version__, causes error in notebook
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