No.Deep learning is a subset of machine learning, which in turn is a subset of AI. Deep learning is growing in popularity, but it's still just a machine learning technique and is considered to be one of the most efficient methods of machine learning at the current time.
There are many different machine learning techniques and deep learning is just one of them. Machine learning is a branch of Artificial Intelligence (AI), but it's still a subset of AI. Deep learning itself is a supervised machine learning algorithm that utilizes neural networks to make predictions about the input data, based on previous data. It is generally used for classification or regression problems.
It was first introduced in the 1990s by researchers working on AI and neural networks. The main difference with the other machine learning techniques is in how the model is developed; specifically, there's no need for manually coding the algorithm. Instead, it is done by using a process called 'training'. In other words, it's a lot more automated and human involvement is reduced.
All other machine learning algorithms need to be handcrafted, i.e. designed and coded by humans. The algorithm itself needs to be designed and written, so we call this process 'supervised learning'. It means that we need to provide the algorithm with both input and output datasets, so it can 'learn' what to do. In other words, the algorithm is fed with a lot of training data and after it has been trained it is able to make predictions on the new, unseen data.
Lastly, deep learning has been making its way to the top of machine learning for a few years now. As it's getting more and more popular, it's already challenging some of the traditional machine learning algorithms. So it has quite a bit of potential to become even more important.