This version of the EANN introduces walls, the agents must learn to avoid said walls.
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Euler [Post-AP Calculus BC Mathematician Project]
RMSProp Optimizer For Gradient Descent
AdaGrad Optimizer For Gradient Descent
Taylor Series Simulation [Numerical Method]
Simulating Higher Order Derivatives (Extending the Limit Definition)
Euler's Method Simulation of dy/dx = x*y*sin(x)
Elementary EANN [V2 - Walls]
Elementary EANN [V1 - No Walls]
Applying the Momentum Optimizer to Gradient Descent
Artificial Neurons
Skip-Gram Model to Derive Word Vectors
Bottlenecks For Noise Reduction
Softmax Normalization
Gradient Descent in More Than 2 Dimensions
Activation Functions
Gradient Descent & Learning Rates Overview
Fourier Series Simulation
Damping Harmonic Motion Simulation