Convolutionpráce

What I need a template to add ANY custom layer to a Keras sequential model. IT should contain a block to calculate forward pass and backward gradient. It should not contain available layer in Tensorflow (tf.nn.*). For example a template to re-construct Resnet with custom convolutional layer (assuming I want to alter behavior of convolution). The code should work in a complex sequential model and should not work only on some models only. Budget is negotiable max in $30 or so. Deadline is negotiable around 3 days.

I need to use the grey wolf optimization for tuning the hyper parameters of Convolutional neural network CNN I have build the model but I don’t know how to apply the optimizer for tuning kernal size of convolution and pooling layers and tuning the number of filter

I need to use the grey wolf optimization for tuning the hyper parameters of Convolutional neural network CNN I have build the model but I don’t know how to apply the optimizer for tuning kernal size of convolution and pooling layers and tuning the number of filter

need to take the convolution of 2 signals in matlab using analytical method(graphical method). it will take 1 or 2 hours only if you are expert

...transmitted signal first hits the object, we call it surface location; there will be a strong reflection. And echoes are equally distributed (distance-wise) from the surface location. However, in practice, there are some other pulses detected for the whole duration of the signal. It can be due to noise and/or many other factors. Please note that in reality, y(t) = s(t)*x(t) + n, where "*" is the convolution operation, s(t) is the transmitted pulse, x(t) is the pulse train we are looking for, and n is noise. However, to model the problem in terms of sparsity solutions or to solve it via deconvolution techniques, it is also possible to assume a suitable model such as matrix H, where H.x(t) + n can offer the same y(t). Note that in H.x(t), the dot notation "." i...

...convert an existing tensorflow model into cudnn. We are currently utilizing a Keras/TF implementation of VNet (convolutional neural network) for medical image segmentation. The system performs well, but does not integrate elegantly into our existing image processing pipeline which is C/Cuda based. We basically need someone to write a simple 3D CNN utilizing cudnn which contains up and down convolution layers. A sample V-Net tensorflow implementation can be found at the link listed below. Ours is similar in overall structure to the public model linked here. We are open to negotiation on price. Fixed price is preferred. There are opportunities for continued collaboration if this project goes well. Please let us know if cudnn

The task is to create a command line menu driven Java application that is capable of reading the image from the path provided by a user and filtering a png image using a convolution kernel. Convolution kernel is a small 2D array of integer constants that can be used to apply filtering effects like edge detection, blurring, etc. The application must use 2D array to apply filter, not any other structure in the Java collections framework.

I am looking for an experienced professional who has experience with Digital signal processing theoretical questions. I need help with some questions. Topics - Sampling and Reconstruction of a Bandlimited Signal, Changing sampling ...professional who has experience with Digital signal processing theoretical questions. I need help with some questions. Topics - Sampling and Reconstruction of a Bandlimited Signal, Changing sampling rate, Design of FIR filters using windows, Filter Design by Impulse Invariance, Bilinear Transformation, Butterworth Filters, The Discrete Fourier series, The Discrete Fourier transform, Circular Convolution, Computation of the Discrete Fourier transform, Continuous-Time Random Processes, Discrete-Time Random Processes, Digital Filter Structure, System Fun...

My project is on Residence time distribution (RTD) studies. I have performed studies on RTD experiments in a device named centrifugal contactor separator to characterize the hydrodynamics. I am looking for someone who has expertise in MATLAB and signal processing. Problem statement: If the two signals (A and B) are convoluted together we get the convolution signal (C). From my RTD experiments, I have signals A and C, I am looking for someone who could help me in MATLAB to obtain signal B through deconvolution of signal A from signal C. If any one of has expertise in my research topic , please messsage , I would happy to discuss more on this.

Implementation of convolution neural network using verilog

Need a help to apply the curvelet, wavelet and gabor filter transform for extracting the feature present on the textile image and also need to build the convolution neural network

Need someone who already finished phd or have many published paper in IEEE to develop CNN by using Extreme Learning Machine ( ELM).

I want to implement removal of object using video inpainting with hybrid approach like optical flow and convolution neural network. Input video should be with occlusion. Need proper algorithmic steps. and results should be in terms of parameter. so can easily compare with existing one.

I need help with Digital signal processing subject. (Z-transform, DFT, IDFT, filter design, Convolution and so on

...To achieve the desired effect, you must employ the techniques that we have studied in the class. You should use at least four distinct methods together. You can use more methods if necessary and additional methods does not need to be distinct. For instance you could use two convolution filters, segmentation, opening, color channel separation together to get a desired effect. Opening and closing are basically same methods but if you use opening and skeletonization, those are two different methods. Likewise all convolution filters are counted as similar methods. You are not allowed to use opencv. You must implement your methods yourself. Submit your own work even if you are not achieving the effect you are after. You will still get points for trying. You should submit y...

Does zero-padding of a signal and subjecting it to DFT fundamentally alter the DFT (i.e. does zero-padding produce an altogether different DFT as compared to the DFT of the original “unpadded” signal or does it just provide more interpolation points in the discrete frequency domain (i.e. the k-domain)? Verify using the MATLAB ff...an altogether different DFT as compared to the DFT of the original “unpadded” signal or does it just provide more interpolation points in the discrete frequency domain (i.e. the k-domain)? Verify using the MATLAB fft command Define two discrete-time signals x[n] of length M and h[n] of length N, for two separate cases: M=N and M≠N. For both cases, verify with MATLAB whether the discrete-time convolution of these two signals is co...

...signals such as the unit step, ramp, impulse function, sinusoidal signals and complex exponentials 3) Have good understanding of the definition of linear time invariant (LTI) systems and be able to examine their properties 4) Be able to perform the process of convolution between signals and understand its implication for analysis of linear time-invariant systems. Understand the notion of an impulse response. 5) Be able to compute the output of a LTI system given the input and the impulse response through convolution sum and convolution integral ( i.e., be able to convolve any two signals either in DT or CT) 6) Be able to determine the Fourier series coefficients of periodic CT and DT signals 7) Have obtained the skills to compute the Fourier transform of CT s...

a project is written in TensorFlow v 1 and I need to translate it into the current PyTorch version. It relates to graph convolution network and Bayesian inference and Stochastic block model. I need an engineering expert on the topics and need it delivered within 5 days, in total 10 files.

a project is written in TensorFlow v 1 and I need to translate it into the current PyTorch version. It relates to graph convolution network and Bayesian inference and Stochastic block model. I need an engineering expert on the topics in total 10 files.

a project is written in TensorFlow v 1 and I need to translate it into the current PyTorch version. It relates to graph convolution network and Bayesian inference and Stochastic block model. I need an engineering expert on the topics in total 10 files.

a project is written in TensorFlow v 1 and I need to translate it into the current PyTorch version. It relates to graph convolution network and Bayesian inference and Stochastic block model. I need an engineering expert on the topics in total 10 files.

a project is written in TensorFlow v 1 and I need to translate it into the current PyTorch version. It relates to graph convolution network and Bayesian inference and Stochastic block model. I need an engineering expert on the topics and need it delivered within 5 days, in total 10 files.

a project is written in TensorFlow v 1 and I need to translate it into the current PyTorch version. It relates to graph convolution network and Bayesian inference and Stochastic block model. I need an engineering expert on the topics and need it delivered within 5 days, in total 10 files.

a project is written in TensorFlow v 1 and I need to translate it into the current PyTorch version. It relates to graph convolution network and Bayesian inference and Stochastic block model. I need an engineering expert on the topics and need it delivered within 5 days, in total 10 files.

I've got a framework done in Pytorch for GGNN(Gated GNN)-based recommendation system, the program runs well and achieves some good recommendation scores. I want to modify the GGNN module with some other graph structure, like graph convolution network, graph attention network.

simple python project standardized data min-max normalized data maximum convolution value graphs for simple dataset

Fashion M-Nist: 1) Implement the Convolution neural networks (CNN) approach on Fashion M-Nist dataset by importing the data from Keras library. The main objective of the assignment is to increase the accuracy of your entire model >90%. a. Execute the CNN approach to train your model to classify different labels that are present in the Fashion-Mnist dataset. Implement Normalization technique to achieve zero mean and zero variance and One-hot encoding if required. Comment on your results. b. Design Convolution neural networks with necessary layers to achieve the accurate model for classifying the different classes. i. Report all the layers that you considered in your model and illustrate the functionality of each layer. Report the results obtained for various learning ra...

Hello, We are looking for an expert in the field of deep learning. The idea is to build a forward and backpropagation model (inverse design) for our complex geometry to achieve specific spectra using an image convolution neural network. This project also includes writing a detailed scientific report for each process done for building the model and postprocessing. Experience in convolution neural networks will be a plus. 

I need to analyze the performance of convolution neural network thus i need you to do the preprocessing part. I already have the data

...Acceptable examples may include, but are not limited to, the following: - Audio Synthesis (Subtractive, Additive, FM, AM, Physical Modelling, Granular, Phase Vocoder, etc.) - Audio Sequencing/Mashing - Audio Filtering (Moving Averages, FIR, IIR, Time-Domain Convolution) - Audio Effects (Chorus, Flange, Delay, Reverb, Distortion, Dynamics, etc.) - Audio Sample Synchronisation - Audio Sample Interpolation - Musical Interaction/Instrument/Interface Control - Real-time Audio Interaction - Generative Audio - Spectral Analysis/Resynthesis - Spectral Convolution/Cross Synthesis - Beat Detection/Extraction - Audio Pattern Recognition - Visual Synthesis (2D or 3D) - Video Filtering - Video Compositing/Mixing/Blending - Generative Video - Image Analysis - Video Scene Extraction/Boun...

Convolution 2D using VHDL and FPGA

This tasks consists of discrete time convolution and the role that it plays in the implementation of digital “filters” and digital filtering. You should be familiar and versed with the use of convolution functions and the run-time arguments / parameters in software tools such as Octave, Scilab, MatLab & Python (via NumPy and/or SciPy). Needs to be implemented on Python.

I need a well research article around 2000 words on the following topic; OBJECTIVES The research will seek to achieve the following objectives; 1. To determine the extend to which emotional expressions signifies stress among health workers. 2. To examine the highly rated deep learning systems or networks for effective de...achieve the following objectives; 1. To determine the extend to which emotional expressions signifies stress among health workers. 2. To examine the highly rated deep learning systems or networks for effective detection of emotions and stress in a workplace. 3. To investigate and establish the correlation between emotional expressions and stress among health workers. 4. To propose a unified robust Convolution Network system that enhance stress detection among heal...

Fourier transform, fourier series and convolution project

One of the most common image filtering methods is performed using the act of convolution. More specifically, a convergence takes place between the original image and a table of factors called a mask or kernel. The act of convergence can visually reminiscent of array multiplication, but differs significantly. In general In this case, the paintings are not the same size, but the mask is small e.g. 3x3 while the image is much larger. In these cases the image is split in subdivisions of the same size as the mask and in each subdivision is executed the convergence.

I have a dataset composed of two different sets of texts encoded in zeros and onces. Each row has a label (0 or 1). I would like to classify the text using convolution neaural network.

I need an audio DSP programmer who can create and convolution reverb app for Windows and macOS. A VST/AU plugin would also be needed. I also need some copy protection for the software.

I need you to develop an effects unit using a micro controller, the effect will be a reverb / convolution reverb with voltage control over peramitors

Convolution and Fourier transform project

FIR Filter, IIR, Convolution, matlab expert

looking for an expert in FIR Filter, IIR, Convolution. must know Matlab too.

looking for an expert in FIR Filter, IIR, Convolution. must know Matlab too.

Hello Ahmed I have a test in my Digital Signal processing course today at 11:30am EET till 12:30 it will mainly cover 1)Convolution 2)Filtering Basics in time domain 3)FIR filters it will be 20 multiple choice questions with 4 choices to pick from. Are you interested to help me with it?

Hello Mr. Mykyta I have a test in my Digital Signal processing course today at 11:30am EET till 12:30 it will mainly cover 1)Convolution 2)Filtering Basics in time domain 3)FIR filters it will be 20 multiple choice questions with 4 choices to pick from. Are you interested to help me with it?

Hello Mr. Sabir I have a test in my Digital Signal processing course today at 11:30am EET till 12:30 it will mainly cover 1)Convolution 2)Filtering Basics in time domain 3)FIR filters it will be 20 multiple choice questions with 4 choices to pick from. Are you interested to help me with it?

Hello I have a test in my Digital Signal processing course today at 11:30am EET till 12:30 it will mainly cover 1)Convolution 2)Filtering Basics in time domain 3)FIR filters it will be 20 multiple choice questions with 4 choices to pick from. Are you interested to help me with it?

I want deblure image by convolution neural networks

It will be a quiz on 7 of December at 6:00 pm according to Riyadh, Saudi Arabia and the time of quiz will be 50 minutes and it will contain to 2 questions on Convolution and Signal processing and some applications.

Build me convolution neural network from scratch with 5 objects classification

Build convolution neural network from scratch using python with 5 objects classification output