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

Hello All;

Hope your are doing well;

In Mask RCNN I would like change the color of the mask to be White with the Alpha = 1, I change it frome the right place in vizualize.py, but anything change the mask color still red or blue or another color, why the changes on vizualize.py dont have effect ?

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

Several parts of the op sec like the main op description, attributes, input and output descriptions become part of the binary that consumes ONNX e.g. onnxruntime causing an increase in its size due to strings that take no part in the execution of the model or its verification.

Setting __ONNX_NO_DOC_STRINGS doesn't really help here since (1) it's not used in the SetDoc(string) overload (s

Adding types on the public API surface would allow us to do some runtime type checking later on and would allow user's IDE to have more info for static analysis.

The functions/signatures to type are the ones listed here https://github.com/keras-team/autokeras/blob/master/autokeras/__init__.py

For the context, see #856 where I add some type information on a ImageClassifier.

This issue can

It might be useful to write the ReadME of the repo in English for ease of understanding.
It looks pretty useful.

Platform (like ubuntu 16.04/win10): Windows 10
Python version: 3.7.4, mmdnn==0.2.5

Running scripts: mmconvert -f caffe -df keras -om test

I know that this command is not supposed to run without passing an input file, but the error message is incorrect and should be improved:

mmconvert: error: argument --srcFramework/-f: invalid choice: 'None' (choose from 'caffe', 'caffe2', 'cn

Priority

Low

Issue Description

In the screenshot below, LAST MODIFIED shows Sat, 26 Oct 1985 08:15:00 GMT,which is incorrect.

Expected Results

LAST MODIFIED shows correct timestamp, so that users know when this file is modified.

Screenshots/Related files

![image](https://user-images.githubusercontent.com/25629006/52917615-75906980-32a2-11e9-8825-10885a5955d2

  File "/root/miniconda3/bin/pipeline", line 11, in <module>
    sys.exit(_main())
  File "/root/miniconda3/lib/python3.7/site-packages/cli_pipeline/cli_pipeline.py", line 5734, in _main
    _fire.Fire()
  File "/root/miniconda3/lib/python3.7/site-packages/fire/core.py", line 127, in Fire
    component_trace = _Fire(component, args, context, name)
  Fil

We have instructions for setting up local Docker at https://github.com/yandexdataschool/Practical_RL/tree/master/docker. However, they are unclear, as reported in the following threads:

• https://www.coursera.org/learn/practical-rl/discussions/all/threads/E6IkT54xEemB7BKA79O1vg
• https://www.coursera.org/learn/practical-rl/discussions/all/threads/urpCnVhlEeiIjg6nmV99lg

Need to review proble

Spark 2.3 officially support run on kubernetes. While our guide of "Run on Kubernetes" is still based on a special version of Spark 2.2, which is out of date. We need to:

1. update that document to Spark 2.3
2. release the corresponding docker images.

Missing Documentation

When one increases the n_experiments in polyaxonfile_hyperparams.yml (from polyaxon-quick-start repo) to, e.g., 25, the platform schedules 20 experiments instead. This happens because the following [lines](https://github.com/polyaxon/polyaxon/blob/0c47bd220bccf60d5af7