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Tensorflow normalize is the method available in the tensorflow library that helps to bring out the normalization process for tensors in neural networks. The main purpose of this process is to bring the transformation so that all the features work on the same or similar level of scale. ... Convolution and Cross-Correlation One might explain what. Keras is a high-level API, typically used with the Tensorflow library, and has lowered the barrier to entry for many and democratized the creation of Deep Learning models and systems. When just starting out, a high-level API that abstracts most of the inner-workings helps people get the hang of the basics, and build a starting intuition. In TensorFlow , the Data Flow Graph models a program as a directed graph in which nodes represent mathematical operations and edges represent the multidimensional data arrays (tensors) that flow between the nodes (Martin and Estrin, 1967, Yourdon and Constantine, 1979).For example, Fig. 3 depicts the Data Flow Graph that represents a simple linear.