DockerKeras

<img src="https://i.imgur.com/xsEfL7j.png" alt="drawing" width="25px"/> Maintained by HonghuTech, a Taiwan-based Deep-Learning Solutions Provider

Having trouble setting-up environments for Deep Learning? We do this for you! From now on, you shall say goodbye to annoying messages such as "Build failed..." or "An error occurred during installation...".

Currently, we maintain the following docker images:

• Keras using TensorFlow Backened
• Keras using CNTK Backend
• Keras using MXNET Backend
• Keras using Theano Backend

Apparently, all these environments support using Keras as the frontend.

See below for more details about these environments.

Table of Contents

• Before Getting Started
• Summary of the Images
• Keras using TensorFlow Backend
• Keras using MXNET Backend
• Keras using CNTK Backend
• Keras using Theano Backend
• ndrun - Run a Docker Container for Your Deep-Learning Research
• Getting Started with the Command Line
  • Example: Check a Framework’s Version
  • Example: Classify Handwritten-Digits With TensorFlow
  • Example: Train a Multi-GPU Model Using TensorFlow
• Advanced Usage of the Command Line
  • Avoid Giving Your Script Extra GPUs
  • Set NV_GPU If You Know Which GPUs You’d Like to Use
  • Run Commands on Behalf of Yourself
• Getting Started with Jupyter Notebook
  • Learn Deep Learning with MXNET Gluon

Before Getting Started

• NVIDIA-Docker2 has to be installed. See [here] for how to install and [here] for its introduction.
• Docker needs to be configured. For example, you may have to add your user to the docker group. see [here] for Docker setup.
• Beware: the latest images include CUDA10, which requires NVIDIA driver version >=410.XX. You can get the latest NVIDIA driver [here].

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Summary of the Images

The following tables list the docker images maintained by us. All these listed images are retrievable through Docker Hub.

• Images within the repository: honghu/keras

  |Keras Backend | Image's Tag | Description | Dockerfile | Suggested NV Driver | |:---:|---|---|:---:|:---:| |TensorFlow| tf-cu10.0-dnn7.4-py3-avx2-19.01 /<Br> tf-latest | TensorFlow v1.12.0 <br/> Intel® Distribution for Python v2019.0-047 <br/> Keras v2.2.4<br/> NCCL v2.3.7-1| [Click]| R410 | |TensorFlow| tf-cu9.2-dnn7.2-py3-avx2-18.10 | TensorFlow v1.11.0 <br/> Intel® Distribution for Python v2018.3-039 <br/> Keras v2.2.4<br/> NCCL v2.2.13| [Click]| R396 | |TensorFlow| tf-cu9.2-dnn7.2-py3-avx2-18.09 | TensorFlow v1.10.1 <br/> Intel® Distribution for Python v2018.3-039 <br/> Keras v2.2.2<br/> NCCL v2.2.13| [Click] | R396 | |TensorFlow| tf-cu9.2-dnn7.1-py3-avx2-18.08| TensorFlow v1.10.0 <br/> Intel® Distribution for Python v2018.3-039 <br/> Keras v2.2.2<br/> NCCL v2.2.13| [Click] | R396 | |TensorFlow| tf-cu9-dnn7-py3-avx2-18.03 | TensorFlow v1.6.0 <br/> Keras v2.1.5 | [Click]| R384 | |TensorFlow| tf-cu9-dnn7-py3-avx2-18.01 | TensorFlow v1.4.1 <br/> Keras v2.1.2 | [Click]| R384 | |MXNet| mx-cu10.0-dnn7.4-py3-19.01 / <br/> mx-latest | MXNet v1.4.0.rc0 <br/> GluonCV v0.3.0 <br/> Intel® Distribution for Python v2019.0-047 <br/> Keras-MXNet v2.2.4.1 <br/> NCCL v2.3.7-1 | [Click] | R410 | |MXNet| mx-cu9.2-dnn7.2-py3-18.10 | MXNet v1.3.0-dev <br/> GluonCV v0.3.0-dev <br/> Intel® Distribution for Python v2018.3-039 <br/> Keras-MXNet v2.2.4.1 <br/> NCCL v2.2.13 | [Click] | R396 | |MXNet| mx-cu9.2-dnn7.2-py3-18.09 | MXNet v1.3.0-dev <br/> GluonCV v0.3.0-dev <br/> Intel® Distribution for Python v2018.3-039 <br/> Keras-MXNet v2.2.2 <br/> NCCL v2.2.13 | [Click] | R396 | |MXNet| mx-cu9.2-dnn7.1-py3-18.08 | MXNet v1.3.0-dev <br/> GluonCV v0.3.0-dev <br/> Intel® Distribution for Python v2018.3-039 <br/> Keras-MXNet v2.2.0 <br/> NCCL v2.2.13 | [Click] | R396 | |MXNet| mx-cu9-dnn7-py3-18.03 | MXNet v1.2.0 <br/> Keras-MXNet v2.1.3 | [Click] | R384 | |MXNet| mx-cu9-dnn7-py3-18.01 | MXNet v1.0.1 <br/> Keras-MXNet v1.2.2 | [Click] | R384 | |CNTK| cntk-cu10.0-dnn7.4-py3-19.01 / <br/> cntk-latest| CNTK v2.6 <br/> Intel® Distribution for Python v2019.0-047 <br/> Keras v2.2.4 <br/> NCCL v2.3.7-1 | [Click] | R410 | |CNTK| cntk-cu9.2-dnn7.2-py3-18.10 | CNTK v2.6 <br/> Intel® Distribution for Python v2018.3-039 <br/> Keras v2.2.4<br/> NCCL v2.2.13 | [Click] | R396 | |CNTK| cntk-cu9.2-dnn7.2-py3-18.09| CNTK v2.5.1 <br/> Intel® Distribution for Python v2018.3-039 <br/> Keras v2.2.2 | [Click] | R396 | |CNTK| cntk-cu9-dnn7-py3-18.08 | CNTK v2.5.1 <br/> Keras v2.2.2 | [Click] | R384 | |CNTK| cntk-cu9-dnn7-py3-18.03 | CNTK v2.4 <br/> Keras v2.1.5 | [Click] | R384 | |CNTK| cntk-cu8-dnn6-py3-18.01 | CNTK v2.2 <br/> Keras v2.1.2 | [[Click]