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4 Commits
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6f854a9d62
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6f854a9d62 | ||
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59f26a299c | ||
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4f8c48c504 | ||
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4d9bf5965b |
@@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 1,
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"id": "7a37220a",
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"metadata": {},
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"outputs": [
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@@ -20,7 +20,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 2,
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"id": "d318d1f0",
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"metadata": {},
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"outputs": [
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@@ -61,7 +61,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 3,
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"id": "5604ace3",
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"metadata": {},
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"outputs": [
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@@ -110,7 +110,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 4,
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"id": "3cedd586",
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"metadata": {},
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"outputs": [
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@@ -150,7 +150,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 5,
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"id": "8f556b22",
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"metadata": {},
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"outputs": [
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@@ -184,7 +184,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 6,
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"id": "37793c77",
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"metadata": {},
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"outputs": [
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@@ -222,7 +222,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 7,
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"id": "f68c1a25",
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"metadata": {},
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"outputs": [
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@@ -257,7 +257,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 8,
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"id": "e1539eaa",
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"metadata": {},
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"outputs": [
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@@ -289,7 +289,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 9,
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"id": "d1b7d9ca",
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"metadata": {},
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"outputs": [
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@@ -347,7 +347,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 10,
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"id": "54d11a04",
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"metadata": {},
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"outputs": [],
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@@ -370,7 +370,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": 11,
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"id": "374d0590",
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"metadata": {},
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"outputs": [
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@@ -378,16 +378,16 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 1: Loss=1.575, Accuracy=50.54%\n",
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"Epoch 2: Loss=1.196, Accuracy=60.35%\n",
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"Epoch 3: Loss=1.018, Accuracy=64.98%\n",
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"Epoch 4: Loss=0.909, Accuracy=68.58%\n",
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"Epoch 5: Loss=0.842, Accuracy=70.87%\n",
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"Epoch 6: Loss=0.784, Accuracy=72.83%\n",
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"Epoch 7: Loss=0.738, Accuracy=74.24%\n",
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"Epoch 8: Loss=0.703, Accuracy=75.30%\n",
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"Epoch 9: Loss=0.671, Accuracy=76.30%\n",
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"Epoch 10: Loss=0.641, Accuracy=77.64%\n",
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"Epoch 1: Loss=1.480, Accuracy=50.95%\n",
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"Epoch 2: Loss=1.073, Accuracy=62.46%\n",
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"Epoch 3: Loss=0.974, Accuracy=66.04%\n",
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"Epoch 4: Loss=0.899, Accuracy=68.51%\n",
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"Epoch 5: Loss=0.834, Accuracy=70.87%\n",
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"Epoch 6: Loss=0.779, Accuracy=72.60%\n",
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"Epoch 7: Loss=0.730, Accuracy=74.29%\n",
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"Epoch 8: Loss=0.689, Accuracy=75.64%\n",
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"Epoch 9: Loss=0.649, Accuracy=77.14%\n",
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"Epoch 10: Loss=0.620, Accuracy=78.21%\n",
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"Finished Training\n"
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]
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}
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@@ -425,7 +425,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": 12,
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"id": "2bf2b9a2",
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"metadata": {},
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"outputs": [],
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@@ -444,7 +444,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": 13,
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"id": "bc158602",
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"metadata": {},
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"outputs": [
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@@ -452,7 +452,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Test Accuracy: 74.53%\n"
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"Test Accuracy: 76.35%\n"
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]
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}
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],
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@@ -474,7 +474,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 14,
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"id": "8cc7ed40",
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"metadata": {},
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"outputs": [
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@@ -482,14 +482,14 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Accuracy for class: Bicycle is 43.5%\n",
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"Accuracy for class: Bus is 53.8%\n",
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"Accuracy for class: Car is 87.6%\n",
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"Accuracy for class: Motorcycle is 75.2%\n",
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"Accuracy for class: NonVehicles is 99.0%\n",
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"Accuracy for class: Taxi is 20.0%\n",
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"Accuracy for class: Truck is 13.9%\n",
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"Accuracy for class: Van is 24.7%\n"
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"Accuracy for class: Bicycle is 45.2%\n",
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"Accuracy for class: Bus is 71.3%\n",
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"Accuracy for class: Car is 77.3%\n",
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"Accuracy for class: Motorcycle is 81.2%\n",
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"Accuracy for class: NonVehicles is 98.2%\n",
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"Accuracy for class: Taxi is 37.0%\n",
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"Accuracy for class: Truck is 35.6%\n",
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"Accuracy for class: Van is 35.5%\n"
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]
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}
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],
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notebooks/02-tutorial-cnn-modified-vals.ipynb
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notebooks/02-tutorial-cnn-modified-vals.ipynb
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notebooks/03-adam-optimizer.ipynb
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notebooks/03-adam-optimizer.ipynb
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notebooks/04-batch-norm-dropout.ipynb
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notebooks/04-batch-norm-dropout.ipynb
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notebooks/05-data-augmentation.ipynb
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notebooks/05-data-augmentation.ipynb
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notebooks/06-deeper-cnn.ipynb
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notebooks/06-deeper-cnn.ipynb
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