Dec 15, 2021
Top 4 Deep Learning Networks You Should Know
Deep learning has become a very popular topic in recent years. Its popularity is due to its ability to train neural nets and perform classification tasks with high accuracy, even without the need for human intervention. Deep learning networks can also be trained on their own, which means they don’t require pre-labeled data like other types of machine learning algorithms. Here are 4 deep neural networks that you should know about:
1. Convolutional Neural Network (CNN)
The first deep learning network you should know about is the Convolutional Neural Network (CNN). CNN's are used for image recognition and have been shown to be very effective in this domain. They are also used for other tasks such as natural language processing.
2. Recurrent Neural Network (RNN)
The second deep learning network you should know about is the Recurrent Neural Network (RNN). RNNs are used for tasks such as language modeling and machine translation. They are also effective at predicting the next word in a sentence.
3. Long Short-Term Memory (LSTM)
The third deep learning network you should know about is the Long Short-Term Memory (LSTM) network. LSTMs are used for tasks such as speech recognition and natural language processing. They are also effective at predicting the next word in a sentence.
4. Deep Belief Network (DBN)
The fourth deep learning network you should know about is the Deep Belief Network (DBN). DBNs are used for tasks such as image recognition and natural language processing. They are also effective at predicting the next word in a sentence.
As you can see, there are many different types of deep learning networks that you can use for various tasks. So, which one should you use? Well, that depends on the task at hand. But, in general, it’s a good idea to try out several different types of deep learning networks and see which one gives you the best results.
