The MLP Architecture: Activations & Initialization | CodeSignal Learn
Artificial Intelligence
238 learners
The MLP Architecture: Activations & Initialization
This course builds upon single layers to construct a complete Multi-Layer Perceptron (MLP). You'll learn to stack layers, explore different activation functions like ReLU and Softmax, and understand the importance of weight initialization for effective training.
Numpy
Python
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4 lessons
17 practices
2 hours
Badge for Deep Learning and Neural Networks,
Deep Learning and Neural Networks
Course details
Stacking Layers: Building a Multi-Layer Perceptron (MLP)
Preview
Passing Data Through the MLP
Aligning Layers in Your Neural Network
Build Your Own MLP Class
Deepening Your Neural Network Design
Build a Complete Neural Network
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