Understanding what is Deep Learning
Deep Learning (DL) is a branch of ML that develops prediction models using Artificial Neural Networks (ANNs). ANNs, simply called Neural Networks (NNs), are computations that are loosely based on how human brains with neurons work to process information. ANNs consist of neurons, which are types of nodes that are interconnected with other neurons. These neurons transmit information among themselves; this gets processed down the NN to eventually arrive at a result.
DL is one of the most powerful ML techniques and is used to train models that are highly configurable and can support predictions for large and complicated datasets. DL models can be supervised, semi-supervised, or unsupervised, depending on their configuration.
There are various types of ANNs:
- Recurrent Neural Network (RNN): RNN is a type of NN where the connections between the various neurons of the NN can form a directed or undirected graph. This type of network is cyclic...
