'test'

SmBito · Sep 28, 2019 · e477e9a · e477e9a
1 parent b56c532
commit e477e9a
Showing 1 changed file with 56 additions and 8 deletions.
diff --git a/03.ipynb b/03.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -22,7 +22,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "torchvision.datasets.mnist.MNIST"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -32,7 +52,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -69,7 +89,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -79,17 +99,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "tensor([[-2.2363, -2.4409, -2.4171, -2.1568, -2.2548, -2.2759, -2.3771, -2.2130,\n",
-       "         -2.3210, -2.3729]], grad_fn=<LogSoftmaxBackward>)"
+       "tensor([[-2.2460, -2.3058, -2.3153, -2.3613, -2.2639, -2.2549, -2.2464, -2.3105,\n",
+       "         -2.3159, -2.4196]], grad_fn=<LogSoftmaxBackward>)"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -99,6 +119,34 @@
     "output"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "tensor([0, 5, 1, 8, 9, 8, 7, 4, 3, 1])\n",
+      "tensor([9, 6, 2, 8, 3, 0, 3, 6, 0, 5])\n",
+      "tensor([8, 2, 8, 3, 1, 7, 3, 9, 4, 8])\n"
+     ]
+    }
+   ],
+   "source": [
+    "import torch.optim as optim\n",
+    "\n",
+    "optimizer = optim.Adam(net.parameters(), lr=1e-3)\n",
+    "\n",
+    "EPOCHS = 3\n",
+    "for epoch in range (EPOCHS):\n",
+    "    for data in trainset:\n",
+    "        X,y = data\n",
+    "        \n",
+    "        break"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,