官术网_书友最值得收藏!

Summary

In this chapter, we covered the various types of linear algebra components and operations that pertain to machine learning. These components include scalars, vectors, matrices, and tensors. The operations that were applied to these tensors included addition, transposition, and multiplication—all of which are fundamental for understanding the underlying mathematics of ANNs.

We also learned some of the basics of the Keras package, including the mathematics that occurs at each node. We replicated the model from the previous chapter, in which we built a logistic regression model to predict the same target from the online shopping purchasing intention dataset. However, in this chapter, we used the Keras library to create the model using an ANN instead of the scikit-learn logistic regression model. We achieved a similar level of accuracy using ANNs.

The upcoming chapters of this book will use the same concepts we learned about in this chapter; however, we will continue building ANNs with the Keras package. We will extend our ANNs to more than a single layer by creating models that have multiple hidden layers. By adding multiple hidden layers to our ANNs, we will put the "deep" into "deep learning". We will also tackle the issues of underfitting and overfitting since they are related to training models with ANNs.

主站蜘蛛池模板: 珠海市| 兰州市| 宜黄县| 九龙城区| 和林格尔县| 左贡县| 娄烦县| 盐源县| 舞阳县| 福安市| 阿拉善盟| 万安县| 永修县| 甘南县| 孝义市| 思茅市| 米易县| 鸡西市| 镇坪县| 双牌县| 华宁县| 乐清市| 朔州市| 台湾省| 日照市| 招远市| 加查县| 榆社县| 芦山县| 阿巴嘎旗| 正蓝旗| 呈贡县| 四会市| 彰武县| 峡江县| 肃宁县| 抚顺市| 微博| 文安县| 万荣县| 泽库县|