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Update Course 1 - Part 4 - Lesson 2 - Notebook.ipynb #157

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Update Course 1 - Part 4 - Lesson 2 - Notebook.ipynb #157

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2 changes: 1 addition & 1 deletion Course 1 - Part 4 - Lesson 2 - Notebook.ipynb
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Expand Up @@ -499,7 +499,7 @@
"\n",
"What would happen if you remove the Flatten() layer. Why do you think that's the case? \n",
"\n",
"You get an error about the shape of the data. It may seem vague right now, but it reinforces the rule of thumb that the first layer in your network should be the same shape as your data. Right now our data is 28x28 images, and 28 layers of 28 neurons would be infeasible, so it makes more sense to 'flatten' that 28,28 into a 784x1. Instead of wriitng all the code to handle that ourselves, we add the Flatten() layer at the begining, and when the arrays are loaded into the model later, they'll automatically be flattened for us."
"You get an error about the shape of the data. It may seem vague right now, but it reinforces the rule of thumb that the first layer in your network should be the same shape as your data. Right now our data is 28x28 images, and 28 layers of 28 neurons would be infeasible, so it makes more sense to 'flatten' that 28,28 into a 784x1. Instead of writing all the code to handle that ourselves, we add the Flatten() layer at the begining, and when the arrays are loaded into the model later, they'll automatically be flattened for us."
]
},
{
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