An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons.
Artificial Neural Networks comes from the learning path of
Before starting the complex mathematical discussion of neural networks, the implementation is presented. At the end you should be able to differentiate between different archtitectures of neural networks.
The Artificial Neural Networks path can be specialized into
Convolutional Neural Networks
Recurrent Neural Networks
Deep Reinforcement Learning
Generative Adversarial Network
Start immediately and learn at your own pace.
Set and adhere to flexible deadlines.
Approx. 3 months to complete
Recommended 12 hours/week