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TinyMS is an Easy-to-Use deep learning framework development toolkit based on MindSpore, designed to provide quick-start guidelines for machine learning beginners.
Please checkout the install document to quickly install or upgrade TinyMS project.
Have no idea what to do with TinyMS❓ See the Quick Start to implement the image classification application in one minutes❗
Besides, here are some use cases listed to demonstrate how TinyMS simplifies the code flow for users.
from tinyms.data import MnistDataset, download_dataset
from tinyms.vision import mnist_transform
data_path = download_dataset('mnist')
mnist_ds = MnistDataset(data_path, shuffle=True)
mnist_ds = mnist_transform.apply_ds(mnist_ds) |
from tinyms.model import lenet5
net = lenet5(class_num=10) |
from tinyms.model import Model
model = Model(net)
model.compile(loss_fn=net_loss, optimizer=net_opt, metrics=net_metrics)
model.train(epoch_size, train_dataset)
model.save_checkpoint('./checkpoint_lenet.ckpt')
···
model.load_checkpoint('./checkpoint_lenet.ckpt')
model.eval(eval_dataset) |
from PIL import Image
import tinyms as ts
from tinyms.model import Model, lenet5
from tinyms.vision import mnist_transform
img = Image.open(img_path)
img = mnist_transform(img)
net = lenet5(class_num=10)
model = Model(net)
model.load_checkpoint('./checkpoint_lenet.ckpt')
input = ts.expand_dims(ts.array(img), 0)
res = model.predict(input).asnumpy()
print("The label is:", mnist_transform.postprocess(res)) |
If you are interested in learning TinyMS API, please find TinyMS Python API in API Documentation.
For a more detailed step-by-step video tutorial, please refer to the following website.
| Episode | Title | Content | Docs | Status | Update Time |
|---|---|---|---|---|---|
| EP01 | How to learn Deep Learning? The Most Efficient Way For Beginners! | Teacher's profile+DeepLearning Course Introduction | - | Published | 2021.3.30 |
| EP02 | How we teach computers to understand pictures? Three Ways to Install TinyMS | It uncovers the magic of computer vision + three ways to install TinyMS (Ubuntu, Win10, Docker) | TinyMS Installation For Beginners | Published | 2020.3.31 |
| EP03 | Learn Shell Script in 30 Minutes | It covers the essential concepts such as using variables, basic operators, loops & functions and so on. It also gives you an insight by scaling down some real-time scenarios and demonstrating them using the docker container. | Learn Shell Script in 30 Minutes (doc) | Published | 2020.4.1 |
For any developers who are not familiar with how TinyMS community works, please find the Contributing Guidelines to get started.
The release notes, see our RELEASE.