anaconda3

KO | EN

gitlite — search

#hacktoberfest #ai #android #rust #linux #docker #nodejs #macos #java #kubernetes #awesome-list #ios #openai #open-source

(★ 31)

Anaconda3, Jupyter Notebook, OpenCV3, TensorFlow and Keras2 for Deep Learning🐳

anaconda3 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# anaconda3 [![](https://img.shields.io/docker/stars/okwrtdsh/anaconda3.svg)![](https://img.shields.io/docker/pulls/okwrtdsh/anaconda3.svg)![](https://img.shields.io/docker/automated/okwrtdsh/anaconda3.svg)![](https://img.shields.io/docker/build/okwrtdsh/anaconda3.svg)](https://hub.docker.com/r/okwrtdsh/anaconda3/)
Anaconda3, Jupyter Notebook, OpenCV3, TensorFlow and Keras2 for Deep Learning

## Available tags
### Anaconda3, Jupyter, OpenCV3

### Tensorflow

### Keras (Tensorflow Backend)

| Tag | Size / Layers | Base | Tensorflow | Keras |
|:-:|:-:|:-:|:-:|:-:|
| `keras-cpu`, `keras` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:keras-cpu.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:keras-cpu) | `tf-cpu` | 1.12.0 | 2.2.4 |
| `keras-10.0-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:keras-10.0-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:keras-10.0-cudnn7) | `tf-10.0-cudnn7` | 1.12.0 | 2.2.4 |
| `keras-9.2-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:keras-9.2-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:keras-9.2-cudnn7) | `tf-9.2-cudnn7` | 1.12.0 | 2.2.4 |
| `keras-9.1-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:keras-9.1-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:keras-9.1-cudnn7) | `tf-9.1-cudnn7` | 1.7.0 | 2.1.5 |
| `keras-9.0-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:keras-9.0-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:keras-9.0-cudnn7) | `tf-9.0-cudnn7` | 1.7.0 | 2.1.5 |
| `keras-8.0-cudnn6` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:keras-8.0-cudnn6.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:keras-8.0-cudnn6) | `tf-8.0-cudnn6` | 1.4.1 | 2.1.3 |

### Pytorch

### Mxnet

## How to Use

### CPU
1. Run with docker (image: `okwrtdsh/anaconda3:keras-cpu`)
```bash
$ docker run -v $(pwd):/src/notebooks -p 8888:8888 -td okwrtdsh/anaconda3:keras-cpu
```
2. Open `http://localhost:8888` in web browser

### GPU
1. Run with nvidia-docker (image: `okwrtdsh/anaconda3:keras-10.0-cudnn7`)
```bash
$ nvidia-docker run -v $(pwd):/src/notebooks -p 8888:8888 -td okwrtdsh/anaconda3:keras-10.0-cudnn7
```
2. Open `http://localhost:8888` in web browser

### CPU (docker-compose)
1. docker-compose.yml (image: `okwrtdsh/anaconda3:keras-cpu`)
```yml
version: '3'
services:
  jupyter:
    image: okwrtdsh/anaconda3:keras-cpu
    ports:
      - '8888:8888'
    volumes:
      - ./notebooks:/src/notebooks
```
2. Run with docker-compose
```bash
$ docker-compose up -d
```
3. Open `http://localhost:8888` in web browser

### GPU (docker-compose)
1. docker-compose.yml (image: `okwrtdsh/anaconda3:keras-10.0-cudnn7`)
```yml
version: '3'
services:
  jupyter:
    image: okwrtdsh/anaconda3:keras-10.0-cudnn7
    ports:
      - '8888:8888'
    volumes:
      - ./notebooks:/src/notebooks
```
2. Run with nvidia-docker
```bash
# Run with nvidia-docker-compose (nvidia-docker v1)
$ nvidia-docker-compose up -d
# Run with docker-compose (nvidia-docker v2)
$ docker-compose up -d
```
3. Open `http://localhost:8888` in web browser

#### [PyTorch](https://github.com/pytorch/pytorch#docker-image)
> Please note that PyTorch uses shared memory to share data between processes, so if torch multiprocessing is used (e.g. for multithreaded data loaders) the default shared memory segment size that container runs with is not enough, and you should increase shared memory size either with `--ipc=host` or `--shm-size` command line options to nvidia-docker run.

##### nvidia-docker
```bash
$ nvidia-docker run --ipc=host -v $(pwd):/src/notebooks -p 8888:8888 -td okwrtdsh/anaconda3:pytorch-10.0-cudnn7
```

##### docker-compose
```yml
version: '3'
services:
  jupyter:
    image: okwrtdsh/anaconda3:pytorch-10.0-cudnn7
    ipc: host
    ports:
      - '8888:8888'
    volumes:
      - ./notebooks:/src/notebooks
```

```bash
# Run with nvidia-docker-compose (nvidia-docker v1)
$ nvidia-docker-compose up -d
# Run with docker-compose (nvidia-docker v2)
$ docker-compose up -d
```

anaconda3

anaconda3 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

anaconda3

anaconda3 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README