Top Tweets for #ComputationalMindset
Parametric curve on plane fitting with TensorFlow
The topic of this post is the fitting of a parametric curve on a Cartesian reference system Oxy.
Click here for more:
https://t.co/Hn01CUrSE1
#neuralnetworks #deeplearning #artificialintelligence #ai #computationalmindset
Analyzer of a nonlinear autonomous dynamical system on the plane by Hartman-Grobman theorem.
Read the full article here:
https://t.co/zxeq9sbOBB
#mathematics #deeplearning #artificialintelligence #ai #computationalmindset
This post deals with the approximation of real mathematical scalar functions to one or more real variables using a PyCaret without writing code.
Click here for more:
https://t.co/Eg0DfuVZBY
#machinelearning #deeplearning #artificialintelligence #ai #computationalmindset
‘Time Series' dataset collection
Collection of synthetic datasets generated by applying functions to the values of a sequence representing time.
Click here for more:
https://t.co/TNyu1MMBjp
#artificialintelligence #ai #computationalmindset
This post is part of a series of posts on the fitting of mathematical objects (functions, curves and surfaces) through a MLP (Multi-Layer Perceptron).
Click here for more:
https://t.co/OzFwTpyW9o
#neuralnetworks #deeplearning #artificialintelligence #ai #computationalmindset
Common tools for function fitting
This post describes the use of a set of common tools written in Python to generate and display synthetic datasets.
Click here for more:
https://t.co/JuYjy7V1mf
#machinelearning #deeplearning #artificialintelligence #ai #computationalmindset
Analyzer of a nonlinear autonomous dynamical system on the plane by Hartman-Grobman theorem.
Read the full article here:
https://t.co/zxeq9sbOBB
#mathematics #deeplearning #artificialintelligence #ai #computationalmindset
Latest updates and new content available on Github:
https://t.co/pUnIGJUjts
#github #machinelearning #artificialintelligence #ai #computationalmindset
This post shows three examples written in Julia (there will be more in the future) that use some of the ideas described in the Neural ODEs paper.
Click here for more:
https://t.co/KV3ePRCLMM
#neuralnetworks #deeplearning #python #artificialintelligence #ai #computationalmindset
Common tools for function fitting
This post describes the use of a set of common tools written in Python to generate
and display synthetic datasets.
Click here for more: https://t.co/JuYjy7V1mf
#machinelearning #deeplearning #artificialintelligence #ai #computationalmindset
Random Numbers Generation
The following program is the translation in Python with Qiskit of the circuit shown above.
Click here for more: https://t.co/s7Ulo0lHW1
#quantumprogramming #deeplearning #artificialintelligence #ai #computationalmindset
Ordinary differential equation solvers in Python
Three problems are presented namely an equation of the first order.
Click here to find out: https://t.co/KJCLz9gzAP
#neuralnetworks #deeplearning #artificialintelligence #ai #computationalmindset
A method to solve first-order time delay differential equation using Lambert W function
Click here for more: https://t.co/8k0LQvv6P7
#mathematics #deeplearning #artificialintelligence #ai #computationalmindset
This post deals with the forecast of a univariate and equally spaced time series through various neural network taxonomies implemented with TensorFlow.
Click here for more: https://t.co/Ysxs8RCw6R
#neuralnetworks #deeplearning #artificialintelligence #ai #computationalmindset
Integral Calculus in Python
The SciPy library provides several numerical methods for computing the integral of such functions.
Click here for more: https://t.co/YphUbIMRYg
#mathematics #deeplearning #ai #computationalmindset
The purpose of pruning of the weights based on magnitude is to gradually zero out the less significant weights of the model during the training phase.
Click here for more: https://t.co/fW1zoLZSxq
#neuralnetworks #artificialintelligence #ai #computationalmindset
Integral Calculus in Python
The purpose of this post is to present a series of demos to show "by examples" the use appropriate methods.
Click here for more: https://t.co/YphUbIMRYg
#mathematics #deeplearning #ai #computationalmindset
Solving delay differential equations using numerical methods in Python
Click here for more: https://t.co/4oeLR7FOO6
#mathematics #deeplearning #artificialintelligence #ai #computationalmindset
The fitting of functions, curves and surfaces with a neural network is a classic machine learning problem.
Click here for more: https://t.co/oc3WpOp7F6
#neuralnetworks #deeplearning #artificialintelligence #ai #computationalmindset
Fitting functions with a configurable Support Vector Regressor
Click here for more: https://t.co/Eg0DfuVZBY
#machinelearning #artificialintelligence #ai #computationalmindset
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