I need a (simple) implementation of a regular feed-forward neural network in Python (from scratch, not a package).
I want an implementation from a Statistical point-of view, what I mean is an implementation like in the book of Tsay (2010), Section 4.19, where neural networks are described/implemented as an Econometric model. Or as described in Cheng and Titterington (1994). All neural nets have a non-linear regression representation, as far as I am aware.
So basically a simple neural network (you can look at it as a non-linear regression), where you have the pseudo-likelihood (Gaussian objective function), and then afterwards a numerical minimization with respect to the parameters of the network.
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hi i already made neural network from scratch, with gradient descent, i'm looking forward to work with you, cordially
Hello, I am a PhD candidate in Electrical Engineering (control systems). I'm expert in MATLAB and python programming and by strong mathematical and statistical background, have good flexibility for solve your project. Daha Fazla
Neural network from a Statistical point of view Since 2012, almost from 8 years I am managing academic writing tasks successfully. I am working with my friends from different backgrounds, it means I can manage wide ra Daha Fazla
I have already implemented it in C++ and python from scratch for MNIST data and trained it and got good accuracy Mesaage me in chat so that we can discuss more.
Dear Client, I am experienced in the design and implementation of Neural Networks from scratch in languages like Python and C/C++. I already have code which I developed for my use cases. I really hope I can complete yo Daha Fazla