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Now let us move to build the code using keras with tensorflow backend. This line stands for importing pandas. Pandas is used to read the dataset. Dataset is in form of . csv and is used to separate the dataset into predictor variables i. e input data or number of features as well as target variable or labels or output. Numpy is very important library as deep learning model needs tensors as input. Numpy is used to make tensors from the input data. Let me teach you simple funda. List of scalar is called as vector and list of vector is called as matrix and list of matrix is called tensor. Numpy is used to make these.
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