launch_training.ipynb

{
 "cells": [
 {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sagemaker import get_execution_role\n",
    "from sagemaker.tensorflow import TensorFlow\n",
    "\n",
    "role=get_execution_role()\n",
    "\n",
    "estimator = TensorFlow(entry_point='aws_entry_point.py',\n",
    "                             role=role,\n",
    "                             training_steps=1000, \n",
    "                             train_instance_count=1,\n",
    "                             train_instance_type='ml.p2.xlarge',\n",
    "                             hyperparameters={\n",
    "                                              'learning_rate': 0.001,\n",
    "                                              'batch_size' : 32\n",
    "                                      })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "estimator.fit('s3://sagemaker-eu-west-1-107382316743/founder-classifier/data')"
   ]
  }
  ],
 "metadata": {
  "kernelspec": {
   "display_name": "conda_tensorflow_p36",
   "language": "python",
   "name": "conda_tensorflow_p36"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}