Deep learning is a fast growing field in tech that is often described to have limitless potential. This paper describes its history, why the explosion in popularity, and how it works. An example of classifying images of handwritten digits (MNIST) will be explored using a fully connected network and a convolutional neural network. Next, a brief description of the tools necessary for the reader to implement his or her own network. Finally, a view of the state of the art being developed by companies such as Google, Facebook, and Baidu.
No presente trabalho vamos abordar o Efeito Hall discutindo experimentos realizados afim de estimar o valores do Coeficiente Hall de dois metais,o cobre e o zinco.Com o objetivo de compará-los com o da literatura.