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Merge pull request #2 from lucach/typos
Fix a couple of typos in the colab notebook
2 parents 59479fb + 46c3946 commit fc371df

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GestureToEmoji/arduino_tinyml_workshop.ipynb

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@@ -82,7 +82,7 @@
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"source": [
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"# Graph Data (optional)\n",
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"\n",
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"We'll graph the input files on two separate graphs, acceleration and gyroscope, as each data set has different units and scale"
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"We'll graph the input files on two separate graphs, acceleration and gyroscope, as each data set has different units and scale."
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"source": [
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"## Parse and prepare the data\n",
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"\n",
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"The next cell parses the csv files and transforms them to a format that will be used to train the full connected neural network.\n",
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"The next cell parses the csv files and transforms them to a format that will be used to train the fully connected neural network.\n",
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"\n",
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"Update the `GESTURES` list with the gesture data you've collected in `.csv` format.\n"
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@@ -241,11 +241,11 @@
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"source": [
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"## Randomize and split the input and output pairs for training\n",
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"\n",
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"Randomly sprint the input and ouput pairs into sets of data. 60% for training, 20% for validation, and 20% for testing.\n",
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"Randomly split input and output pairs into sets of data: 60% for training, 20% for validation, and 20% for testing.\n",
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"\n",
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" - the training set is used to train the model\n",
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" - the validatiin set is used to measure how well the model is performing during training\n",
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" - the testing set is used test the model after training"
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" - the validation set is used to measure how well the model is performing during training\n",
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" - the testing set is used to test the model after training"
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"source": [
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"### Graph the mean absolute error\n",
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"\n",
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"[Mean absolute error](https://en.wikipedia.org/wiki/Mean_absolute_error), is another metric to judge the performance of the model.\n",
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"[Mean absolute error](https://en.wikipedia.org/wiki/Mean_absolute_error) is another metric to judge the performance of the model.\n",
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"\n"
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@@ -547,4 +547,4 @@
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]
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}
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}
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}

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