Tensorflow Jobs

## Description: I need a python application to train and classify audio or sound using tensorflow 3 It should work for any kind of simple and short audio. Examples - If I sent animal sounds (), the application should detect the animal - If I sent latin audios like (), the application should detect the most similar word based on the training ## Dataset I don’t have any datasets and/or should work for any sound. Example: Train class1 : 10 sounds, class2 : 10 sounds, class3 : 10 sounds If I send a new sound, program must detect to which class it belongs to ## Endpoints #### http//localhost:8080/v1/job Method: POST Request: Response : {"code":200, "message":"success", "content": "8ea8ee4a-944573ae1d9d"} Description:...

i need the computer vision expert for multiple jobs. Details will be shared with winning bidder.

i need the computer vision expert for multiple jobs. Details will be shared with winning bidder.

An Azure function app (httptrigger) has to be developed to calculate images with a given model for object detection (tensorflow 2). Requirements concerning environment - Python 3.7.4 has to be used - tensorflow 2.4.1 has to be used - use Linux for Azure function app - You have to use your own Azure environment (no access can be given to my Auzere environment) On my local machine, everything is working fine on my Windows PC. The aim is that I can deploy and run such an Azure function. Source code has to be delivered and maybe help has to be given in setting up the function app. (Actually I deployed many function apps already.) Description of files ==================== Program files: - main python file which is called to run this sample (python .) - doing the real job, load mode...

i need the computer vision expert for multiple jobs. Details will be shared with winning bidder.

Main Task - Image Reconstruction 1. Custom image Dataset must be loaded from the local drive. As of now you can load your own dataset. 2. Image Augmentation have to be included Important: There should not be any restriction on the dimensions of the image. It will work with all the image dimensions Step 1: 3. The various types of Autoencoder techniques and GAN must compared with and without hyper parameter tuning, Ensembling methods with various performance metrics. 4. There is an option to mention and control the types of noises with the range 5. The reconstructed results will be checked with the bunch of images or else the single image with similarity score with the input image.

I already have a model that is built using TensorFlow Decision Forests. I have to convert some of the preprocessing steps from pandas to tensorflow. And model building steps. Bid only if you have experience in tensorflow and is available to do it right now.

Cancer detection and classification using ct or pet images

Setup a TensorFlow API. Real time object detection, center crop image, calculation using X and Y and display the result of the calculation.

There is a code written in TensorFlow 1 for developing a deep learning model. I want to convert the code to TensorFlow 2. The new code should: 1. Train the model as fast as the original code (This is the crucial condition about this project) 2. Generate exactly the same quality of results as the original code (with the same dataset that is used for the original code) 3. Be like it is genuinely written in TensorFlow 2 and not only TensorFlow 2 compatible. This is the original code: At the end of the project I will assess the speed of the new code, the performance of the model training process and output of the code. Thanks!