Added Deep CNN and ayugmentation

notebooks/01-tutorial-cnn.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 1,
    "id": "7a37220a",
    "metadata": {},
    "outputs": [
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 2,
    "id": "d318d1f0",
    "metadata": {},
    "outputs": [
@@ -61,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 3,
    "id": "5604ace3",
    "metadata": {},
    "outputs": [
@@ -110,7 +110,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 4,
    "id": "3cedd586",
    "metadata": {},
    "outputs": [
@@ -150,7 +150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 5,
    "id": "8f556b22",
    "metadata": {},
    "outputs": [
@@ -184,7 +184,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 6,
    "id": "37793c77",
    "metadata": {},
    "outputs": [
@@ -222,7 +222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 7,
    "id": "f68c1a25",
    "metadata": {},
    "outputs": [
@@ -257,7 +257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 8,
    "id": "e1539eaa",
    "metadata": {},
    "outputs": [
@@ -289,7 +289,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 9,
    "id": "d1b7d9ca",
    "metadata": {},
    "outputs": [
@@ -347,7 +347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 10,
    "id": "54d11a04",
    "metadata": {},
    "outputs": [],
@@ -370,7 +370,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 11,
    "id": "374d0590",
    "metadata": {},
    "outputs": [
@@ -378,16 +378,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch 1: Loss=1.626, Accuracy=45.59%\n",
-      "Epoch 2: Loss=1.137, Accuracy=60.53%\n",
-      "Epoch 3: Loss=0.992, Accuracy=65.56%\n",
-      "Epoch 4: Loss=0.911, Accuracy=68.28%\n",
-      "Epoch 5: Loss=0.853, Accuracy=70.51%\n",
-      "Epoch 6: Loss=0.806, Accuracy=72.12%\n",
-      "Epoch 7: Loss=0.753, Accuracy=73.36%\n",
-      "Epoch 8: Loss=0.708, Accuracy=75.08%\n",
-      "Epoch 9: Loss=0.669, Accuracy=76.77%\n",
-      "Epoch 10: Loss=0.637, Accuracy=77.62%\n",
+      "Epoch 1: Loss=1.480, Accuracy=50.95%\n",
+      "Epoch 2: Loss=1.073, Accuracy=62.46%\n",
+      "Epoch 3: Loss=0.974, Accuracy=66.04%\n",
+      "Epoch 4: Loss=0.899, Accuracy=68.51%\n",
+      "Epoch 5: Loss=0.834, Accuracy=70.87%\n",
+      "Epoch 6: Loss=0.779, Accuracy=72.60%\n",
+      "Epoch 7: Loss=0.730, Accuracy=74.29%\n",
+      "Epoch 8: Loss=0.689, Accuracy=75.64%\n",
+      "Epoch 9: Loss=0.649, Accuracy=77.14%\n",
+      "Epoch 10: Loss=0.620, Accuracy=78.21%\n",
       "Finished Training\n"
      ]
     }
@@ -425,7 +425,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 12,
    "id": "2bf2b9a2",
    "metadata": {},
    "outputs": [],
@@ -444,7 +444,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 13,
    "id": "bc158602",
    "metadata": {},
    "outputs": [
@@ -452,7 +452,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Test Accuracy: 73.82%\n"
+      "Test Accuracy: 76.35%\n"
      ]
     }
    ],
@@ -474,7 +474,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 14,
    "id": "8cc7ed40",
    "metadata": {},
    "outputs": [
@@ -482,14 +482,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Accuracy for class: Bicycle    is 60.3%\n",
-      "Accuracy for class: Bus        is 84.7%\n",
-      "Accuracy for class: Car        is 74.3%\n",
-      "Accuracy for class: Motorcycle is 59.7%\n",
-      "Accuracy for class: NonVehicles is 99.9%\n",
-      "Accuracy for class: Taxi       is 35.9%\n",
-      "Accuracy for class: Truck      is 16.4%\n",
-      "Accuracy for class: Van        is 27.3%\n"
+      "Accuracy for class: Bicycle    is 45.2%\n",
+      "Accuracy for class: Bus        is 71.3%\n",
+      "Accuracy for class: Car        is 77.3%\n",
+      "Accuracy for class: Motorcycle is 81.2%\n",
+      "Accuracy for class: NonVehicles is 98.2%\n",
+      "Accuracy for class: Taxi       is 37.0%\n",
+      "Accuracy for class: Truck      is 35.6%\n",
+      "Accuracy for class: Van        is 35.5%\n"
      ]
     }
    ],