Fundamentals of Deep Learning - Definition and its Types


Hello readers !!! If you are reading this article, make sure you read previous articles of our Deep Learning Series.

As discussed in the second article, deep learning is the study of the neural networks with multiple layers of computation, that enables the algorithm to powerfully analyze the input data.


Deep learning is a methodology of collecting, analyzing, and interpreting the data, but a lot faster than machine learning techniques. Now you might be thinking how it is faster? If not, you should think 😄. Well the answer to this question is that, deep learning models have many hidden layers which automatically extract the features from the dataset, while in machine learning algorithms, we have to manually extract the features from the data.

Types of Deep Learning Architectures

Deep Learning architectures can be designed in many ways as follows.

Akshay Juneja authored 10+ articles for INFO4EEE Website on Deep Learning.

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