Nod AutoML package for neural architecture search and model training of image classification
Project description
NodLabsNNS pip package
Nod Labs AutoML package for neural architecture search and model training of image classification
Requirements
- Access to Cloud TPUs (Official Cloud TPU Tutorial)
- Tensorflow 1.15
- Python 3.5+
Specific steps
- install pip package
pip3 install nod-labs-NNS==0.0.1
- Setting up ImageNet dataset
To setup the ImageNet follow the instructions from here
- Use nodlabsNNS package for neural architecture search and train
create a python file
Search
import nns
model = model.nod_detection('tpu','your-tpu-name','your-bucket-name')
model.dataset('imagenet')
model.search_model()
Train
import nns
model = model.nod_detection('tpu','your-tpu-name','your-bucket-name')
model.dataset('imagenet')
model.train_model()
Currently nns only support TPU for searching and training and only support IMAGENET dataset.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file nod-labs-NNS-0.0.1.tar.gz.
File metadata
- Download URL: nod-labs-NNS-0.0.1.tar.gz
- Upload date:
- Size: 36.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
90758e2fce9aafe755923e1950acfcc832075e8c0ac6bf417dd6a767489405f6
|
|
| MD5 |
d46b2b4b957ed25d4bcf3c38a2385304
|
|
| BLAKE2b-256 |
c9a847e09279684f4ed13c1b06e2d51664c2b7234c3982e611a3b462451feb1b
|
File details
Details for the file nod_labs_NNS-0.0.1-py3-none-any.whl.
File metadata
- Download URL: nod_labs_NNS-0.0.1-py3-none-any.whl
- Upload date:
- Size: 42.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0d0906438f4a718771dad5e496ff4edf732a42d171dd696a39b19f6117bf748b
|
|
| MD5 |
62963eb77bcc7a4eb3fcab9cb7d32f1b
|
|
| BLAKE2b-256 |
03f34b7c717c16f663244cf56cc0515e63758f96ce18edc907040b7d5ea2de2f
|