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quickly get up and running creating machine learning programs in go using Tensorflow in a docker container:

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// repository documentation

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# What is tfcgo?

tfcgo was born out of necessity. Tensorflow go bindings are slow to progress. Relying on protobufs to generate wrapper code is dependant on the growth of the c/c++ public api - and the underlying framework has much more to offer!
This library will eventually do the hard work bridging the gap between go and the Tensorflow c++ framework. Training a TF machine learning algorithm is possible in go. Please note contributions in this repo will be submitted to the main tensorflow repo.

# Docker Installation
[Install Docker](https://docs.docker.com/engine/installation/#supported-platforms)

# Build your own image from source
git clone this repo:
`git clone https://github.com/ctava/tfcgo`

```
Run the following commands:
cd tfcgo
docker build -t ctava/tfcgo .
To run with shared volume, you can add /go to shared paths from Docker -> Preferences... -> File Sharing.
docker run -v /go/src/github.com/ctava/tfcgo:/go/src/github.com/ctava/tfcgo -it -p 8888:8888 ctava/tfcgo:latest
```

and your in. You now have `tensorflow` + `golang` + `tfcgo` available.

# Running from a prebuilt/publish docker image

```
Run the following commands:
docker pull ctava/tfcgo:latest
docker run -it --security-opt=seccomp:unconfined -p 8888:8888 ctava/tfcgo:latest
```
--security-opt for the purposes of using [delve](https://github.com/derekparker/delve)

and your in. You now have `tensorflow` + `golang` + `tfcgo` available.

# Confirm Golang, Tensorflow and tfcgo installation
```
Run the following commands:
go run versioncheck.go
```
You should see the versions of golang, tensorflow and tfcgo as specified in the docker file.

# Now for the fun stuff
```
go run listops.go
```
You should see a list of all of the ops available in tensorflow

Training
```
go run linear.go
```

Multi-Class Classification
```
go run iris.go (coming soon)
```

# Additional resources
[gopherdata](https://github.com/gopherdata/resources)

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