Skip to content

Deep learning

Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.

Here are 19,945 public repositories matching this topic...

fchouteau
fchouteau commented Oct 17, 2019

URL(s) with the issue:

In the 1.15 changelog:

https://github.com/tensorflow/tensorflow/releases/tag/v1.15.0

tf.keras.model.save_model and model.save now defaults to saving a TensorFlow SavedModel.

In the 1.15 docstring:
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/Model#save

filepath: String, path to SavedModel or H5 file to save the model. overwrite: Whe

janwendt
janwendt commented Oct 16, 2019

I could not find anything in the docs about how to handle different frequencies of time series. I have a Dataset A with monthly data that i want to use to predict the values from Dataset B that contains quarterly based data. So the target value e.g. quarter 1 is based on the values from month 1-3.

Dataset A (Features):

| Month | Value1 | Value2 | Value3 |
| ------------- | ------------- |

yf225
yf225 commented Sep 30, 2019

Context

We would like to add torch::nn::functional::normalize to the C++ API, so that C++ users can easily find the equivalent of Python API torch.nn.functional.normalize.

Steps

  • Add torch::nn::NormalizeOptions to torch/csrc/api/include/torch/nn/options/normalization.h (add this file if it doesn’t exist), which should include the following parameters (based on https://pytorch.
You can’t perform that action at this time.