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MatSte8525119 1 × R31.00
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Hands on Machine Learning Project - Auto Image Captioning for Social Media Course
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Hands on Machine Learning Project - Auto Image Captioning for Social Media Course

Digital product
New 1 was available
Indicative market price: R1,999.00
R30.00 minimum increment
R31.00
R899.00
55% off
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This is a digital product (eg. voucher, product license, service, etc.) and does not require shipping. The seller will be in contact to deliver this product to you electronically.
The seller has indicated that they will usually have this item ready to ship within 2 business days. Shipping time depends on your delivery address. The most accurate delivery time will be calculated at checkout, but in general, the following shipping times apply:
 
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Main centres:  1-3 business days
Regional areas: 3-4 business days
Remote areas: 3-5 business days
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JayDuo324
99.39 % Positive ratings
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Product details

Condition
New
Location
South Africa
Bob Shop ID
641587183

Hands on Machine Learning Project Auto Image Captioning for Social Media Overview

The Hands-on Machine Learning Project Auto Image Captioning for Social Media course offers practical experience in building an automated image captioning system. Suitable for beginners and intermediates, it covers text and image preprocessing, deep learning model training, and deployment using Streamlit and AWS EC2. By course end, youll be equipped to create and deploy a custom image captioning model for social media.

Learning Outcomes
Understand the fundamental concepts of machine learning and image captioning.
Gain hands-on experience with Python libraries commonly used in machine learning.
Learn how to access and preprocess caption and image datasets for training purposes.
Develop skills in text tokenisation and sequence generation for deep learning models.
Build and train a neural network model for image captioning.
Evaluate and refine your models performance on test datasets.
Create and customise a Streamlit application for user-friendly model interaction.
Deploy a machine learning application on AWS EC2 for real-world use.
Understand how to generate predictions using your deployed Streamlit app.
Master the end-to-end process of building and deploying a machine learning model for social media.

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