1 files changed, 168 insertions, 0 deletions
diff --git a/backend/microservice/cuvanjemodela.ipynb b/backend/microservice/cuvanjemodela.ipynb
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+++ b/backend/microservice/cuvanjemodela.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Pre samog čuvanja modela, potrebno je kreirati i obučiti željeni model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<keras.engine.functional.Functional object at 0x000001B0AA821550>\n"
+     ]
+    }
+   ],
+   "source": [
+    "import tensorflow as tf\n",
+    "\n",
+    "\n",
+    "datainput=tf.keras.Input(shape=(32,))\n",
+    "dataoutput=tf.keras.layers.Dense(1)(datainput)\n",
+    "\n",
+    "model=tf.keras.Model(datainput,dataoutput)\n",
+    "\n",
+    "model.compile(optimizer='adam',loss=\"mean_squared_error\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nakon kreiranja, potrebno je izvršiti trening kreiranog modela"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Za trening će se koristiti nasumicno generisani skup brojeva"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x=np.random.random((128,32))\n",
+    "y=np.random.random((128,1))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nakon generisanja, moguće je izvršiti trening "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4/4 [==============================] - 0s 3ms/step - loss: 0.6013\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<keras.callbacks.History at 0x1b0a99bbf10>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.fit(x,y)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Kreiranje h5 fajla se izvršava pozivanjem sledeceg koda:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "INFO:tensorflow:Assets written to: primer.onnx\\assets\n"
+     ]
+    }
+   ],
+   "source": [
+    "model.save(\"primer.h5\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Učitavanje postojećeg fajla može se izvršiti pozivanjem sledećeg koda:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model2=tf.keras.models.load_model('primer.h5')"
+   ]
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "aa60dac3a75d8da79a838f0110309d30613c15866a87f648d4b1206eac7c83af"
+  },
+  "kernelspec": {
+   "display_name": "Python 3.9.10 64-bit (windows store)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.10"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}