This document provides an introduction to neural networks and deep learning through four chapters. It begins with a brief introduction to machine learning, discussing the two main types of machine learning algorithms: supervised and unsupervised learning. It then covers neural networks, explaining what they are, different types of neural network architectures and learning processes. The third chapter discusses deep learning, how it works, main architectures and algorithms. The final chapter covers convolutional neural networks, how they are used for deep learning, and their architecture. The goal is to explain these topics at an introductory level for beginners.

Neural Networks and Deep Learning - Deep Learning Explained To Your Granny - A Visual Introduction For Beginners Who Want To Make Their Own Deep Learning Neural Network (Machine Learning)

Neural Networks and Deep Learning - Deep Learning Explained To Your Granny - A Visual Introduction For Beginners Who Want To Make Their Own Deep Learning Neural Network (Machine Learning) PDF

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