Alexnet implementation in tensorflow has incomplete architecture where 2 convolution neural layers are missing. This issue is in reference to the python notebook mentioned below.

https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb

Issue Description

The following test fails for seed = 0 but passes for (as far as I can tell) any other seed (e.g. seed = 1)

https://gist.github.com/orausch/9a42e24b782319447a515e8c29b364a0

Version Information

Please indicate relevant versions, including, if relevant:

• Deeplearning4j version: beta6
• Platform information (OS, etc): Ubuntu 19.10
  (cc @rpatra)

Environment:

1. Framework: PyTorch
2. Framework version: 1.3.1
3. Horovod version: 0.19.0
4. MPI version: 4.0.2
5. CUDA version: N/A
6. NCCL version: N/A
7. Python version: 3.7.5
8. OS and version: Mac OS 10.15.2
9. GCC version: 9.2.0

Checklist:

1. Did you search issues to find if somebody asked this question before? Yes
2. If your question is about hang, did you read [this d

If I were to deploy cube.js using AWS serverless architecture, is athena required?

The docs https://cube.dev/docs/deployment#serverless do not mention whether Athena is optional or required. But when reading it, I assume it is required because there are athena keys in the serverless.yml config. I'm evaluating the idea of using Postgres RDS as the sole datasource for cubejs.

For folks using SciKit Learn version 0.20.3 the Cross Validation function from (ds-cheatsheets/Python/Datacamp/scikit-learn.pdf) should be from sklearn.model_selection.cross_validate if I'm not mistaken. I was running a linear regression algorithm using sklearn v0.20.3 and the sklearn.cross_validation.cross_val_score was not recognized but the aforementioned function was and my program ran with no

本地执行./angel-example com.tencent.angel.example.ml.DeepFMLocalExample失败
日志如下：
19/12/06 21:45:10 INFO master.AngelApplicationMaster : write app state over
19/12/06 21:45:10 WARN master.AngelApplicationMaster : App Staging directory is null
19/12/06 21:45:10 INFO master.AngelApplicationMaster : Deleting tmp output directory file:/tmp/work/application_1575639909105_1859751923_ad9a6590-c370-42eb-9a8

The official Widgets Development Guide only contains the most basic widget types as example.

There is no functional example for a Flot chart in there right now. Or is it?

Since this is one of the most useful and probably used (at leat to me) widgets it would be very helpful to extend that docum

Page
https://docs.alluxio.io/os/user/stable/en/operation/Journal.html

Summary

This page talks about different Journal systems supported.
However, the most important property alluxio.master.journal.type is not explained at all, which is required to set a journal type.

We have some work about tune accuracy with large batch size for inception/ssd. It would be great if we can document that.

The configuration looks a bit weird:

 notebook.io.FileSystemNotebookProviderConfigurator {
    notebooks.dir = ${manager.notebooks.dir}
  }

  notebooks {
    ###
    # Server dir (containing notebook files)
    dir = ./notebooks
    dir = ${?NOTEBOOKS_DIR}
  }

  # Configure notebook storage provider
  # Default is FileSystem provider
  # See conf/application-git-storage.conf f

Hello,

I was able to run python scripts in dev mode using the steps provided in documentation. but for production, I am not sure which all folders to keep and the process to follow. editing the local conf and local sh files and running the server_deploy script, I was able to generate the server jar. But still i had to manually add the python context and upload my egg file.
Can someone pleas

I have noticed a small error in the documentation around S3 configurations:
https://docs.delta.io/latest/delta-storage.html#amazon-s3

On the read part, it should be load and not save:
spark.read.format("delta").load("s3a://<your-s3-bucket>/<path>/<to>/<delta-table>")

Also, I have successfully tested Delta 0.5.0 with on-premise S3 - https://min.io
There were some quirks around the

Use this checklist to track logstash wiki and documentation

• Update https://github.com/Cyb3rWard0g/HELK/wiki/Create-Plugins-Offline-Package
• Update HELK overview picture
  • remove alien vault integration
  • update with new indexes #256
• document catch all for windows
• document indexme catch all
• some general guideline on X amount of devices and or X amo

Implement Series.reindex.

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.reindex.html

Version

com.microsoft.ml.spark:mmlspark_2.11:jar:0.18.1
spark= 2.4.3
scala=2.11.12

data (csv with header) https://gist.github.com/ttpro1995/69051647a256af912803c9a16040f43a

download data and save as csv file, put into folder /data/public/HIGGS/higgs.test.predictioncsv

val data = spark.read.option("header","true").option("inferSchema", "true").csv("/data/public/HIGGS

Problem
Some of our transformers & estimators are not thoroughly tested or not tested at all.

Solution
Use OpTransformerSpec and OpEstimatorSpec base test specs to provide tests for all existing transformers & estimators.