DL Algorithms
- Overview
Deep learning (DL) algorithms are computer programs that mimic the way the human brain learns and performs complex tasks.
DLalgorithms consist of layers of interconnected nodes that process data. The algorithm learns by associating features in the data with labels, and then uses this knowledge to make predictions about new data.
DL algorithms are typically trained on large amounts of labeled data. During training, the algorithm adjusts the strength of the connections between layers to minimize the error between the predictions and the true labels.
DL algorithms are used to automate tasks that typically require human intelligence, such as language translation and image recognition.
[More to come ...]