- Essential Types of Neural Networks
- Convolutional (CNN)
- Recurrent (RNN)
- Bayesian (BNN)
- Generative Adversarial (GAN)
Essential Types of Neural Networks
What the Hell is Perceptron?
Perceptron is a single layer neural network and a multi-layer perceptron is called Neural Networks. Perceptron is a linear classifier (binary). Also, it is used in supervised learning. It helps to classify the given input data. But how the heck it works ?
A new approach to medical diagnostic decision support
Identifying the next actions that will most likely disambiguate a differential diagnosis. * Assigning a cost/benefit to iterative diagnostic actions. * Providing most relevant options in the clinician's interface to the electronic health record. * Data mining electronic health records to auto-update decision support.
Generative Adversarial (GAN)
The mostly complete chart of Neural Networks, explained
The zoo of neural network types grows exponentially. One needs a map to navigate between many emerging architectures and approaches. Fortunately, Fjodor van Veen from Asimov institute compiled a wonderful cheatsheet on NN topologies. If you are not new to Machine Learning, you should have seen it before:
6 Types of Neural Networks Every Data Scientist Must Know
Neural networks are robust deep learning models capable of synthesizing large amounts of data in seconds. There are many different types of neural networks, and they help us in a variety of everyday tasks from recommending movies or music to helping us buy groceries online.