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Learning AI from First Principles: Perceptrons to Transformers Series' Articles

Back to Nilavukkarasan R's Series

Nilavukkarasan R

Feb 15

Perceptron: The Foundation of Modern AI

#perceptron #neuralnetworks #ai

3 min read

Nilavukkarasan R

Feb 17

Multi-Layer Perceptron: Where One Line Becomes Two

#ai #deeplearning #mlp

4 min read

Nilavukkarasan R

Feb 19

Backpropagation: How Neural Networks Learn From Mistakes

#ai #backpropagation #machinelearning #neuralnetworks

4 min read

Nilavukkarasan R

Mar 4

Neural Network Optimizers:Training at Scale

#ai #neuralnetworks #deeplearning

3 min read

Nilavukkarasan R

Mar 13

Neural Network Regularization: Fighting Overfitting

#ai #machinelearning #regularization #weightdecay

4 min read

Nilavukkarasan R

Mar 31

Convolutional Neural Networks: Teaching Networks to See

#ai #convolutionalnetworks #computervision #machinelearning

4 min read

Nilavukkarasan R

Apr 11

Understanding Internal Covariate Shift and Residual Connections: Beyond Activation Functions and Optimizers

#ai #deeplearning #residualconnections #machinelearning

5 min read

Nilavukkarasan R

Apr 13

Understanding Recurrent Neural Networks: From Forgetting to Remembering

#rnn #lstm #ai #deeplearning

6 min read

Nilavukkarasan R

Apr 19

Attention Mechanisms: Stop Compressing, Start Looking Back

#selfattention #ai #transformer #multiheadattention

8 min read