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Automatic image caption generator Jan 2019 – Jan 2020

Tensorflow, Python

Implemented a model to extract features from images and generate captions for those images. This model uses CNN over image regions and Long-Short Term Memory (LSTM) over sentence generation.

Predicting next character and word Jan 2019 – Jan 2020

Keras, Python

Developed a model that predicts the next character or word in the document. Trained this model on the star-war dataset.

スキル: Machine Learning (ML), エクセル, Python, Data Analytics, C プログラミング

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採用者について:
( 0件のレビュー ) India

プロジェクトID: #25472096

7人のフリーランサーが、このジョブに平均€14/時間で入札しています

zoranzdravkovic2

-------- Pro C Programming/ Python/ Excel/ Machine Learning (ML)/ Data Analytics Expert! -------- Dear employer Your project is very attracting my mind because I have rich experiences and high skills on this project. もっと

€15 EUR / 時間
(10件のレビュー)
4.0
Sam0072

I have already done this project before......... hello sir , I am a machine learning engineer having 5+ years of experience . I have done many projects on image classification either in agriculture sector or in medica もっと

€12 EUR / 時間
(12件のレビュー)
3.5
andreslmbcr

Hi. I am an expert of deep learning/Image processing and computer vision. I am very good at image processing with especially deep learning. I have full skills of object detection and classification, recognition, segmen もっと

€20 EUR / 時間
(2件のレビュー)
3.4
fnsm3322

Hi, This project is in my specialization field. I have experience in building deep learning models for complex datasets. You can checkout my profile: [login to view URL]

€14 EUR / 時間
(レビュー1件)
1.0
Aniketdeshmukh77

Hii I an data entry expert

€12 EUR / 時間
(0件のレビュー)
0.0
abhijitdalavi

I have trained and deployed 10+ models with about 97% accuracy with model tunning. i would like to work with you.

€12 EUR / 時間
(0件のレビュー)
0.0
adithyatp

I already have an image captioning model built in keras. If you give me your dataset, I can easily adapt it to my model. My current model is trained in the Flickr 8k dataset.

€12 EUR / 時間
(0件のレビュー)
0.0