Linear Layers and Activation Functions in Transformer Models
Linear Layers and Activation Functions in Transformer Models
This post is divided into three parts; they are: • Why Linear Layers and Activations are Needed in Transformers • Typical Design of the Feed-Forward Network • Variations of the Activation Functions The attention layer is the core function of a transformer model.
This post is divided into three parts; they are: • Why Linear Layers and Activations are Needed in Transformers • Typical Design of the Feed-Forward Network • Variations of the Activation Functions The attention layer is the core function of a transformer model.
What aspect of Artificial Intelligence interests you the most?
Total Vote: 2
Machine Learning and Deep Learning
0 %
Natural Language Processing (NLP)
0 %
Robotics and Automation
0 %
AI Ethics and Governance
50 %
AI in Healthcare
0 %
Autonomous Vehicles
0 %
AI in Finance
50 %
Computer Vision
0 %
Other...
0 %
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