Deep Learning Roadmap with Python
<p>Machine learning is a good approach for small and medium datasets. But, when it comes to analyzing big data, this approach is unsuccessful. I learned machine learning techniques easily, but when performing deep learning projects, there are many challenges, especially for beginners.</p>
<p>This blog will guide you to get started with deep learning. Here are the topics we’ll cover:</p>
<ul>
<li>What is deep learning?</li>
<li>Machine learning vs deep learning</li>
<li>Important deep learning algorithms</li>
<li>Deep learning applications</li>
<li>Frameworks for deep learning</li>
<li>Fields you need to know for deep learning</li>
<li>Awesome resources</li>
</ul>
<p>Let’s dive in!</p>
<h1>What is Deep Learning?</h1>
<p>Deep learning is a machine learning technique and is used to find hidden patterns in big data. It is based on the artificial neural network (ANN) algorithm, which is a machine learning technique. ANNs consist of one hidden layer, while deep neural networks consist of more than one hidden layer.</p>
<p><a href="https://medium.com/geekculture/deep-learning-roadmap-with-python-4086642e6016">Click Here</a></p>