Implementation of Gradient Descent Optimization Algorithms on FPGA in verilog language which is sythesizable .
Budget: ₹1,500 – ₹12,500 INR
below file i.e gradient_optimization_algorithms.txt shows python code for all gradient optimization algorithms.
below file i.e input for nadam method.txt shows python code of running nadam method with sample input
below file i.e output for nadam method.txt shows desired result of nadam method.
I need implementation of above python code in verilog language , entire code should be simulated and synthesized , and entire design need to be pipelined and inputs can be in fixed point numbers.
I need above results for all methods
i.e
1.Gradient descent
2.Stochastic Gradient Descent
3.Stochastic Gradient Descent + Momentum
4.Adagrad
5.RMSprop
6.AdaDelta
7.Adam
8.Nesterov
9.Adamax
10.Nadam
in verilog language.
for reference python results for nadam method is shown in below files
below file i.e input for nadam method.txt shows python code of running nadam method with sample input
below file i.e output for nadam method.txt shows desired result of nadam method.
I need implementation of above python code in verilog language , entire code should be simulated and synthesized , and entire design need to be pipelined and inputs can be in fixed point numbers.
I need above results for all methods
i.e
1.Gradient descent
2.Stochastic Gradient Descent
3.Stochastic Gradient Descent + Momentum
4.Adagrad
5.RMSprop
6.AdaDelta
7.Adam
8.Nesterov
9.Adamax
10.Nadam
in verilog language.
for reference python results for nadam method is shown in below files