8282 "source" : [
8383 " # Graph Data (optional)\n " ,
8484 " \n " ,
85- " We'll graph the input files on two separate graphs, acceleration and gyroscope, as each data set has different units and scale"
85+ " We'll graph the input files on two separate graphs, acceleration and gyroscope, as each data set has different units and scale. "
8686 ]
8787 },
8888 {
148148 "source" : [
149149 " ## Parse and prepare the data\n " ,
150150 " \n " ,
151- " 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 " ,
151+ " 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 " ,
152152 " \n " ,
153153 " Update the `GESTURES` list with the gesture data you've collected in `.csv` format.\n "
154154 ]
241241 "source" : [
242242 " ## Randomize and split the input and output pairs for training\n " ,
243243 " \n " ,
244- " Randomly sprint the input and ouput pairs into sets of data. 60% for training, 20% for validation, and 20% for testing.\n " ,
244+ " Randomly split input and output pairs into sets of data: 60% for training, 20% for validation, and 20% for testing.\n " ,
245245 " \n " ,
246246 " - the training set is used to train the model\n " ,
247- " - the validatiin set is used to measure how well the model is performing during training\n " ,
248- " - the testing set is used test the model after training"
247+ " - the validation set is used to measure how well the model is performing during training\n " ,
248+ " - the testing set is used to test the model after training"
249249 ]
250250 },
251251 {
404404 "source" : [
405405 " ### Graph the mean absolute error\n " ,
406406 " \n " ,
407- " [Mean absolute error](https://en.wikipedia.org/wiki/Mean_absolute_error), is another metric to judge the performance of the model.\n " ,
407+ " [Mean absolute error](https://en.wikipedia.org/wiki/Mean_absolute_error) is another metric to judge the performance of the model.\n " ,
408408 " \n "
409409 ]
410410 },
547547 ]
548548 }
549549 ]
550- }
550+ }
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