From 88208f1d52c2e5a4b069430771b75745c4682fad Mon Sep 17 00:00:00 2001
From: mrdbourke <danielbourke@icloud.com>
Date: Fri, 19 Apr 2024 08:31:07 +1000
Subject: [PATCH] update dog vision images

---
 .../end-to-end-dog-vision-v2.ipynb            | 39 +------------------
 1 file changed, 2 insertions(+), 37 deletions(-)

diff --git a/section-4-unstructured-data-projects/end-to-end-dog-vision-v2.ipynb b/section-4-unstructured-data-projects/end-to-end-dog-vision-v2.ipynb
index 797b06068..313afd602 100644
--- a/section-4-unstructured-data-projects/end-to-end-dog-vision-v2.ipynb
+++ b/section-4-unstructured-data-projects/end-to-end-dog-vision-v2.ipynb
@@ -4751,44 +4751,9 @@
     "id": "6nBMeHrVa1-y"
    },
    "source": [
-    "Truncated output of above: \n",
+    "Truncated output of `base_model.summary()`: \n",
     "\n",
-    "```\n",
-    "Model: \"efficientnetv2-b0\"\n",
-    "__________________________________________________________________________________________________\n",
-    " Layer (type)                Output Shape                 Params    Connected to                  \n",
-    "==================================================================================================\n",
-    " input_1 (InputLayer)        [(None, 224, 224, 3)]        0         []                            \n",
-    "                                                                                                  \n",
-    " rescaling (Rescaling)       (None, 224, 224, 3)          0         ['input_1[0][0]']             \n",
-    "                                                                                                  \n",
-    " normalization (Normalizati  (None, 224, 224, 3)          0         ['rescaling[0][0]']           \n",
-    " on)                                                                                              \n",
-    "                                                                                                  \n",
-    " stem_conv (Conv2D)          (None, 112, 112, 32)         864       ['normalization[0][0]']       \n",
-    "                                                                                                  \n",
-    " stem_bn (BatchNormalizatio  (None, 112, 112, 32)         128       ['stem_conv[0][0]']           \n",
-    " n)                                                                                               \n",
-    "                                                                                                  \n",
-    " stem_activation (Activatio  (None, 112, 112, 32)         0         ['stem_bn[0][0]']             \n",
-    " n)                                                                                               \n",
-    "                                                                                      \n",
-    "              >>> [Lots more layers here, removed 90% of them for brevity] <<<                                                                                                 \n",
-    " \n",
-    " \n",
-    " avg_pool (GlobalAveragePoo  (None, 1280)                 0         ['top_activation[0][0]']      \n",
-    " ling2D)                                                                                          \n",
-    "                                                                                                  \n",
-    " top_dropout (Dropout)       (None, 1280)                 0         ['avg_pool[0][0]']            \n",
-    "                                                                                                  \n",
-    " predictions (Dense)         (None, 1000)                 1281000   ['top_dropout[0][0]']         \n",
-    "                                                                                                  \n",
-    "==================================================================================================\n",
-    "Total params: 7200312 (27.47 MB)\n",
-    "Trainable params: 7139704 (27.24 MB)\n",
-    "Non-trainable params: 60608 (236.75 KB)\n",
-    "__________________________________________________________________________________________________\n",
-    "```\n",
+    "<img src=\"https://github.com/mrdbourke/zero-to-mastery-ml/blob/master/images/unstructured-data-effnetv2b0-model-summary.png?raw=true\" width=750 alt=\"Screenshot of a text-based neural network model summary for 'efficientnetv2-b0'. The display lists layers, output shapes, parameter counts, and connectivity in a structured table with dashed lines separating columns. Visible layers include InputLayer, Rescaling, Normalization, Conv2D, BatchNormalization, Activation, GlobalAveragePooling2D, Dropout, and Dense, along with their corresponding specifications. A note indicates 90% of the layers are omitted for brevity.\"/>\n",
     "\n",
     "Woah! Look at all those layers... this is what the \"deep\" in deep learning means! A *deep* number of layers.\n",
     "\n",