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Building deep learning neural networks using TensorFlow layers

A step-by-step tutorial on how to use TensorFlow to build a multi-layered convolutional network. Deep learning has proven its effectiveness in many fields, such as computer vision, natural language processing (NLP), text translation, or speech to text. It takes its name from the high number of layers used to build the neural network performing machine learning tasks. There are several types of layers as well as overall network architectures, but the general rule holds that the deeper the network is, the more complexity it can grasp.
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