Neural Networks with Scikit-Learn and Python | Data Science

Neural Networks with Scikit-Learn and Python | Data Science

There is another package to build Neural Networks with Scikit-Learn and Python. In this article, I will take you through the easiest way to.Networks that mimic the functioning of the human brain; computer programs that actually learn patterns; forecasts without having to know the statistics are neural networks. Building a Neural Network takes a lot of time as compared to training a classification or prediction model.

If you think that TensorFlow and PyTorch are the only ways to Neural Networks with Python then I would tell you that you are wrong. As there is another package to build Neural Networks with Scikit-Learn and Python. In this article, I will take you through the easiest way to build Neural Networks with Scikit-Learn.

Before I introduce you to how we can build a Neural Network using Scikit-Learn, let’s start this from scratch for all the beginners in Machine Learning who are reading this article.

Also, Read – Binary Search Algorithm with Python.

What are Neural Networks?

Networks that mimic the functioning of the human brain; computer programs that actually learn patterns; forecasts without having to know the statistics are neural networks. Building a Neural Network takes a lot of time as compared to training a classification or prediction model. 

Tensorflow and PyTorch are the two common methods for building Neural Networks, and it would not be wrong if I say that using TensorFlow or PyTorch to build a Neural Network are the best methods. Because a neural network needs to be explicitly trained to make predictions as it does not relies on statistics to make predictions. 

TensorFlow and PyTorch do not lack anywhere to build a neural network, so why I am introducing you to another way to build neural networks using scikit-learn. The answer is that not every beginner is capable of using the workflow of TensorFlow and PyTorch. As both of these methods require deep knowledge of every concept of Deep Learning.

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