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&rsquo;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&rsquo;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.&nbsp;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>