aymericdelab
/ download_google_images.ipynb
Last active
September 30, 2019 16:57
Download google images using google_images_download
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aymericdelab
/ download_bing_images.ipynb
Last active
September 30, 2019 17:09
Download Bing Images using the Image Search API from Azure Cognitive Services
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aymericdelab
/ face_images_preprocessing.ipynb
Created
September 30, 2019 19:56
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aymericdelab
/ azure_entry_point_main.py
Created
October 5, 2019 16:18
What we need to add to an entry point script so that the model that we run on AWS can also run on Azure
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| def main(): | |
| ##ARGPARSE | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument('--data-folder', type=str, dest='data_folder', help='data folder mounting point') | |
| parser.add_argument('--batch-size', type=int, dest='batch_size', default=50, help='mini batch size for training') | |
| parser.add_argument('--learning-rate', type=float, dest='learning_rate', default=0.001, help='learning rate') | |
| parser.add_argument('--prefix', type=str, dest='prefix', help='target path when uploading data to Azure storage') | |
| parser.add_argument('--steps', type=int, dest='steps', help = 'number of steps') | |
aymericdelab
/ export_and_evaluate_azure_tfestimator_model.ipynb
Created
October 7, 2019 13:07
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aymericdelab
/ get_founder_from_deployed_model.ipynb
Created
October 8, 2019 10:54
send a request to azure instance where model is deployed
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aymericdelab
/ train_input_fn.py
Last active
October 15, 2019 11:06
example of train_input_fn method for Tensorflow Sagemaker Estimator
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| def train_input_fn(training_dir, hyperparameters): | |
| #training directory is the path to our data in S3 bucket | |
| path=os.path.join(training_dir,'train.json') | |
| with open(path,'rb') as f: | |
| train=json.load(f) | |
| X_train=np.array(train['images'],dtype=np.float64) | |
| y_train=np.array(train['labels'],dtype=np.int64) | |
aymericdelab
/ upload_data_to_S3_bucket.ipynb
Created
October 15, 2019 11:10
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aymericdelab
/ launch_training.ipynb
Created
October 15, 2019 12:04
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aymericdelab
/ deploy_model_Sage.ipynb
Created
October 15, 2019 16:14
deploy your model on sagemaker and check if it works
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