Type of data that is expected by a Sequential model. We'll discuss the details of this type of model in that future episode, but for now, we just need to understand the The first model we'll build in an upcoming episode will be a Sequential model from the Keras API integrated within TensorFlow. In our case, we want our data to be in a format that we can pass to a neural network model.
When preparing data, we first need to understand the format that the data need to be in for the end goal we have in mind. Inputs, and labels are also commonly referred to as Note that in deep learning, samples are also commonly referred to as If we were training a model on images of cats and dogs, then the label for each of the images would either be “cat” or “dog.” If we were to train a model to do sentiment analysis on headlines from a media source, for example, the corresponding label for each sample headline from the media source could be “positive” or “negative.” Labels are the corresponding labels for the samples. Samples, we're just referring to the underlying data set, where each individual item or data point within that set is called a
To train any neural network in a supervised learning task, we first need a data set of samples and the corresponding labels for those samples.
#Neural network training process how to
In this episode, we'll demonstrate how to process numerical data that we'll later use to train our very first artificial neural network. Data Processing for Neural Network Training
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