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I am building an tensorflow model. which needs to be trained with a data set and gives and prediction to a given data.

Hi Im looking for a Python Open CV Image detection expert who must have good experience with building data set, model, opencv and tensorflow.

I have a 2 fine-tune CNN I need to fusion them by a specific way I will give details later. and need to modify some features with SVM.

Image recognition using dictionary learning

**Experienced ML engineers only** **Must have excellent English** We are a small health tech startup looking for a machine learning engineer (MSc or PhD level) to build a semantic analysis pipeline from a large corpus of semi-structured medical text. Tasks will include part of speech tagging, syntactical analysis, named entity recognition, and incorporation of all of these techniques into a model that generates actionable text understanding. Will be directly supervised by engineers with experience in the field. Skills required: -…

I have 2 fine tune models I need to do fusion for them

Create a tensorflow and scripts to dockerize this. https://github.com/AceCentre/EyeCommander/blob/main/DeepLearning_Pipeline/commander.py

I am training the model with a custom dataset and have almost trained it for 10 days in colab pro. now I am encountering a strange error that not able to solve. The notebook which I am using is attached below.

Respected Members! Hoping for your good and sound health. i have integrated Convolutional Neural network with Feed forward network. My code works fine for Feed forward network, but when i place with CNN it gives e the following error. I have been searched lot of sites and other details but couldn't work. How to solve this error plz help me. i am using python with spyder IDE InvalidArgumentError: You must feed a value for placeholder tensor 'dqn/InputData/X' with dtype float…

Derin öğrenme yöntemleri kullanılarak lyme hastalığı tespit eden web sitesi

We are looking for a candidate who knows about PPC bidding have done related projects in the past. Based on impressions, clicks, conversions, etc we need to use a/b testing algorithms to determine the next bid for the specific keyword. The model will get the probability of next bid based on the previous day data. In short, we need to find the best value bids so we get maximum impressions and sales by bidding the lowest (spending less). We will…

We are looking for a candidate who knows about PPC bidding have done related projects in the past. Based on impressions, clicks, conversions, etc we need to use a/b testing algorithms to determine the next bid for the specific keyword. The model will get the probability of next bid based on the previous day data. In short, we need to find the best value bids so we get maximum impressions and sales by bidding the lowest (spending less). We will…

We are looking for a candidate who knows about PPC bidding have done related projects in the past. Based on impressions, clicks, conversions, etc we need to use a/b testing algorithms to determine the next bid for the specific keyword. The model will get the probability of next bid based on the previous day data. In short, we need to find the best value bids so we get maximum impressions and sales by bidding the lowest (spending less). We will…

I'm trying to run a model that I have trained on my raspberry pi using tensorflow but I couldn't run it due to errors as attached below. I have already installed the python3-tk package but it somehow failed to locate it. I am not sure whether it is due to my tensorflow version or my python version or something else. So basically I need help in troubleshooting the problem and help me run the program successfully.

We are looking for a candidate who knows about PPC bidding have done related projects in the past. Based on impressions, clicks, conversions, etc we need to use a/b testing algorithms to determine the next bid for the specific keyword. The model will get the probability of next bid based on the previous day data. In short, we need to find the best value bids so we get maximum impressions and sales by bidding the lowest (spending less). We will…