# ai-models A block of artificial intelligence models self implemented with Pytorch. 1 - Simple Linear Regression, (y = x * w + b)
2 - Logistic Regression, (y = x * w + b) + sigmoid layer
3 - Feedforward Neural Networks, (y = x * w + b) * multiple layers + activation layer (hidden features)
4 - Convulsion Neural Networks, (channels, kernel, padding & strid) + filter per area
5 - Recurrent Neural Networks, (time series ou sentences predictions)
6 - Gated Recurrent Unit Neural Networks, multiple gate, but with update and reset gate existing in the same cell simultaneous
7 - Linear Regression with Quantum Approximate Optimization Algorithm
# lyrics2music