Adam Optimization Algorithm - Python for Integrated Circuits - - An Online Book - |
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Python for Integrated Circuits http://www.globalsino.com/ICs/ | ||||||||
Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix | ||||||||
================================================================================= Adam optimization algorithm is a stochastic gradient descent method that is based on adaptive estimation of first-order and second-order moments. This algorithm helps in compiling the Keras model by updating network weights iteratively based on training data and by diagonal rescaling of the gradients. Adam class: ============================================
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