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Step-by-step code guide on building a Neural Network 6 min read

Welcome to the practical implementation guide of our Deep Learning Illustrated series. In this series, well bridge the gap between theory and application, bringing to life the neural network concepts explored in previous articles.

Remember the simple neural network we discussed for predicting ice cream revenue? We will build that using TensorFlow, a powerful tool for creating neural networks.

And the kicker: well do it in less than 5 minutes with just 27 lines of code!

Lets first start with: what is TensorFlow?

TensorFlow is a comprehensive ecosystem of tools, libraries, and community resources for building and deploying machine learning applications. Developed by Google, its designed to be flexible and efficient, capable of running on various platforms from CPUs to GPUs and even specialized hardware

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Implementing Neural Networks in TensorFlow (and PyTorch) | by Shreya Rao | Jul, 2024 - Towards Data Science