Job category:Artificial Intelligence
335 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
4 lessons
17 practices
2 hours
Badge for Deep Learning and Neural Networks,

Course details

Stacking Layers: Building a Multi-Layer Perceptron (MLP)
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

Previous CourseNext Course: Training Neural Networks: the Backpropagation Algorithm

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