Does anyone know anything about deep learning and can you describe it?

Deep learning is the process of learning the intrinsic laws and levels of representation of sample data, and the information gained from these learning processes can be of great help in interpreting data such as text, images, and sounds. Its ultimate goal is to enable machines to be able to analyze and learn like a human being and recognize data such as text, images and sounds. Deep learning is a complex machine-learning algorithm that has achieved results in speech and image recognition that far exceed those of previous related techniques.

Three main types of approaches are involved: [2]

(1) Neural network systems based on convolutional operations, known as convolutional neural networks (CNNs). [2]

(2) Self-coding neural networks based on multilayer neurons, including self-coding ( Auto encoder) and two categories of sparse coding ( Sparse Coding) which have received much attention in recent years. [2]

(3) Deep Confidence Networks (DBN) that are pre-trained as multi-layer self-coding neural networks, which in turn incorporate discriminative information to further optimize the neural network weights.

Different from traditional shallow learning, deep learning differs in [4]

(1) emphasizing the depth of the model structure, which usually has 5, 6, or even more than 10 layers of hidden layer nodes; [4]

(2) specifying the importance of feature learning. That is, the feature representation of a sample in the original space is transformed to a new feature space by a layer-by-layer feature transformation, which makes classification or prediction easier. Compared with the method of constructing features by artificial rules, using big data to learn features is more capable of portraying the rich intrinsic information of the data.

Typical deep learning models include convolutional neural network, DBN, and stacked auto-encoder network models

.