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# -*- coding: utf-8 -*-
"""nlp_estimators.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1oXjNYSJ3VsRvAsXN4ClmtsVEgPW_CX_c

Classifying text with TensorFlow Estimators
===

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function Square(props) {
  return (
    <button className="square" onClick={props.onClick} style={ props.highlight ? { background: 'green' } : { background: 'white' } }>
      {props.value}
    </button>
  );
}


class Board extends React.Component {

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import torch
import pandas as pd
import numpy as np
import syft as sy
import copy
hook = sy.TorchHook(torch)
from torch import nn
import torch.nn.functional as F
from torch import optim

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def test_execute_plan_module_remotely(hook, start_proc):
    """Test plan execution remotely."""
    hook.local_worker.is_client_worker = False

    class Net(nn.Module):
        def __init__(self):
            super(Net, self).__init__()
            self.fc1 = nn.Linear(2, 3)
            self.fc2 = nn.Linear(3, 2)

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def test_execute_plan_module_remotely(hook, start_proc):
    """Test plan execution remotely."""
    hook.local_worker.is_client_worker = False

    class Net(nn.Module):
        def __init__(self):
            super(Net, self).__init__()
            self.fc1 = nn.Linear(2, 3)
            self.fc2 = nn.Linear(3, 2)

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hosting models on Grid\n",
    "\n",
    "Grid offers both: Machine Learning as a Service and Encrypted Machine Learning as a service. This is a series of notebooks showing how you can serve your models on Grid.\n",
    "\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Host model on a grid node"
   ]
  },
  {