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2023 Advanced Machine Learning and Deep Learning Projects
Text Embedding, Clustering, Classification | Image Clustering, Classification, Text to Image Search
Rating: 4.8 out of 5
(39 ratings)
7,897 students
5.5 hours on-demand video
1 article
1 downloadable resource

Description
This advanced machine learning and deep learning course will cover the following topics:

SBERT and BERT: These are pre-trained models that are used for natural language processing tasks such as sentence classification, named entity recognition, and question answering.

Sentence Embedding and Similarity Measures: Techniques for representing sentences as numerical vectors, and methods for comparing the similarity between sentences.

Clustering: Algorithms for grouping similar data points together, such as k-means and hierarchical clustering.

Text Summarization: Techniques for automatically generating a concise summary of a longer text.

Question Answering: Techniques for automatically answering questions based on a given text.

Image Clustering: Algorithms for grouping similar images together.

Image Search: Techniques for searching for images based on their content.

https://www.udemy.com/course/advanced-natural-language-and-image-processing-projects/?couponCode=F5BA9BAFE323D55DFD4A

Enjoy!
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