Deep Leaning Model Creation and Training
Budget: ₹1,500 – ₹12,500 INR
I am looking for a freelancer who can create and train a deep learning model for Full Page Handwriting Recognition . The ideal candidate should have experience in the following:
- Deep Learning Model Creation and Training
- Image Recognition and Natural Language Processing
- Working with both image and text data
- Using TensorFlow as the preferred deep learning framework
- Transfer Learning
- The model will be trained on dataset with Hindi and Bengali Handwriting.
The project will involve the following tasks:
- Creating a deep learning model using TensorFlow for Full Page Handwriting Recognition
- Collecting and preparing both image and text data for training the model
- Training the model using the prepared data
- Testing and evaluating the model's accuracy and performance
The candidate should have expertise in developing deep learning models and be able to deliver high-quality results within the given timeframe.
An annotated dataset will be provided to you after creation of your model.
The model will be based on the architecture used here: https://www.amazon.science/publications/sequence-to-sequence-contrastive-learning-for-text-recognition
Here are the brief that one needs to use:
-Resnet 152 (Initial weights can be taken from as the Imagenet.
-The code should be modular and easy to understand. (Well Commented).
Budget: INR3000-INR4000
- Deep Learning Model Creation and Training
- Image Recognition and Natural Language Processing
- Working with both image and text data
- Using TensorFlow as the preferred deep learning framework
- Transfer Learning
- The model will be trained on dataset with Hindi and Bengali Handwriting.
The project will involve the following tasks:
- Creating a deep learning model using TensorFlow for Full Page Handwriting Recognition
- Collecting and preparing both image and text data for training the model
- Training the model using the prepared data
- Testing and evaluating the model's accuracy and performance
The candidate should have expertise in developing deep learning models and be able to deliver high-quality results within the given timeframe.
An annotated dataset will be provided to you after creation of your model.
The model will be based on the architecture used here: https://www.amazon.science/publications/sequence-to-sequence-contrastive-learning-for-text-recognition
Here are the brief that one needs to use:
-Resnet 152 (Initial weights can be taken from as the Imagenet.
-The code should be modular and easy to understand. (Well Commented).
Budget: INR3000-INR4000