Machine Learning
Neural Networks
Dive deep into the theory and implementation of Neural Networks. This course will have you implementing tools at the heart of modern AI such as Perceptrons, activation functions, and the crucial components of multi-layer Neural Networks. All of this without the help of high-level libraries leaves you with a profound understanding of the underpinning mechanisms.
C++
3 lessons
10 practices
2 hours
Course details
Building a Perceptron Model
Building a Perceptron for AND Logic Gate Simulation
Debugging Perceptron Summation Calculation
Perceptron Activation Logic Simulation
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