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05 computational views.sql
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68 lines (59 loc) · 1.99 KB
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use mnist;
CREATE OR REPLACE VIEW `neuron_delta_relu` AS
SELECT
*,
(n.predicted - n.expected) * RECTIFIEDLINEARUNIT_DERIVATIVE(`n`.`predicted`) new_delta
FROM
neurons n
order by n.n_id;
CREATE OR REPLACE VIEW `neuron_delta_sig` AS
SELECT
*,
(n.predicted - n.expected) * sigmoid_DERIVATIVE(`n`.`predicted`) new_delta
FROM
neurons n
order by n.n_id;
CREATE OR REPLACE VIEW `neuron_delta_hidden_relu` AS
SELECT
n.*,
SUM( nou.delta * w.w * RECTIFIEDLINEARUNIT_DERIVATIVE(`n`.`predicted`) ) AS `new_delta`
-- sum( (nou.predicted-nou.expected) * (nou.predicted* (1-nou.predicted) ) * w.w ) new_delta
FROM
neurons n
join weights w on w.n_id_in=n.n_id
join neurons nou on nou.n_id=w.n_id_out
group by n.n_id
order by n.n_id;
CREATE OR REPLACE VIEW `neuron_delta_hidden_sig` AS
SELECT
n.*,
SUM( nou.delta * w.w * sigmoid_DERIVATIVE(`n`.`predicted`) ) AS `new_delta`
-- sum( (nou.predicted-nou.expected) * (nou.predicted* (1-nou.predicted) ) * w.w ) new_delta
FROM
neurons n
join weights w on w.n_id_in=n.n_id
join neurons nou on nou.n_id=w.n_id_out
group by n.n_id
order by n.n_id;
CREATE OR REPLACE VIEW forward_propagation_values_sig AS
SELECT
n.n_id AS n_id,
n.predicted,
SIGMOID(SUM(ni.predicted * w.w) + n.bias) AS `calculated_output`
# hiperbolictangent(SUM(ni.predicted * w.w) + n.bias) AS `calculated_output`
FROM
weights w
JOIN neurons n on n.n_id = w.n_id_out
JOIN neurons ni on ni.n_id = w.n_id_in
GROUP BY n.n_id;
CREATE OR REPLACE VIEW forward_propagation_values_relu AS
SELECT
n.n_id AS n_id,
n.predicted,
RectifiedLinearUnit(SUM(ni.predicted * w.w) + n.bias) AS `calculated_output`
# hiperbolictangent(SUM(ni.predicted * w.w) + n.bias) AS `calculated_output`
FROM
weights w
JOIN neurons n on n.n_id = w.n_id_out
JOIN neurons ni on ni.n_id = w.n_id_in
GROUP BY n.n_id;