Easiest Numpy Guide For Beginners Part-2
Author(s): Prajakta Mogare Originally published on Towards AI. Programming This part is the continuation of the part-1 of my blog. I appeal to you to please go through part-1 for a better understanding of this blog. Easiest Numpy Guide For Beginners Part-1 …
A Quick Introduction to Semantic Clustering for Large Texts
Author(s): Yash Prakash Originally published on Towards AI. Group together documents with similar meaning in a large corpus easily. Photo by Melissa Askew on Unsplash Many times, a simple Natural Language Processing task such as grouping together a large collection of sentences …
What is CLIP (Contrastive Language β Image Pre-training) and how it can be used for semantic image search?
Author(s): Vatsal Saglani Originally published on Towards AI. Photo by Maria Teneva on Unsplash Recently, the researchers at OpenAI published a multi-modal architecture that can be used for 30 different tasks once pre-trained on around 400 million image-text pairs. This methodology isnβt …
How to Make a Model with Textual Input Benefit From Userβs Age
Author(s): Sebastian Poliak Originally published on Towards AI. Deep Learning How to Make a Model with Textual Input Benefit From Userβs Age Enriching Sequential LSTM Model with Non-Sequential Features Sequence data can be found in various fields and use cases of Machine …
Googleβs Model Search is a New Open Source Framework that Uses Neural Networks to Build Neural Networks
Author(s): Jesus Rodriguez Originally published on Towards AI. The new framework brings state-of-the-art neural architecture search methods to TensorFlow. Source: https://github.com/google/model_search I recently started an AI-focused educational newsletter, that already has over 70,000 subscribers. TheSequence is a no-BS (meaning no hype, no …