Run Tensorflow tutorial (im2txt) for me

In Progress Posted 5 years ago Paid on delivery
In Progress Paid on delivery

Tensorflow tutorials contain a good model for image captions generation: [login to view URL]

The code already exists I just want to know how to implement it and run it.

Artificial Intelligence Linux Machine Learning (ML) Python Ubuntu

Project ID: #17373427

About the project

15 proposals Remote project Active 5 years ago

15 freelancers are bidding on average $155 for this job

AItechnology

Experienced data scientist who has worked extensively on tensorflow projects and this will be able to help you out in understanding as well as running the provided code Relevant Skills and Experience Tensorflow/ Keras More

$150 USD in 3 days
(119 Reviews)
8.0
iitmshanker

Hello, I have already implemented this project on my linux machine. I will guide you through all the installations and necessary steps to run the code. Relevant Skills and Experience machine learning, linux, tensorf More

$150 USD in 1 day
(22 Reviews)
5.1
hiteshabheda

Hi I have a great and experienced team of Machine Learning developers who can really do well with Tensor flow and other techniques. Relevant Skills and Experience Experience of few projects can help us to work on you More

$250 USD in 3 days
(4 Reviews)
4.4
kujin2018

hi i am very interested Relevant Skills and Experience i am a machine learning expert and i am very good at python so i can do this perfectly Proposed Milestones $155 USD - completion

$155 USD in 3 days
(2 Reviews)
3.4
nverma22

using tensorflow with python Relevant Skills and Experience python, machine learning, deep learning, tensorflow Proposed Milestones $30 USD - during acceptance $125 USD - after completition

$155 USD in 3 days
(2 Reviews)
2.5
Amanbhandula

I have done image captioning in past on MS-COCO and Flickr data-sets and got good results. I am sure that I can help you in this. Relevant Skills and Experience Experience in Deep Learning, Computer Vision (Object Det More

$50 USD in 3 days
(1 Review)
2.2