Sparsely Connected Custom model-The Simplest Way
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Making computer vision easy with Monk, low code Deep Learning tool and a unified wrapper for Computer Vision. GoogLeNet architecture has sparsely connected layers instead of densely connected layers. Reference: TDS Have you …
Interview Questions: Object Detection
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Photo by pisauikan on Unsplash I am currently in a job search for a Computer vision engineer. In this article, I am trying to share the things which I have learned. I would …
Machine Learning Interview Questions-1
Author(s): Gundluru Chadrasekhar Originally published on Towards AI. Careers, Machine Learning Photo by JESHOOTS.COM on Unsplash A Machine Learning Engineer has to cover the breadth concepts in ML, DL , Probability , Stats, and coding with a good depth of understanding . …
Grounding DINO: Achieving SOTA Zero-Shot Learning Object Detection
Author(s): Rohini Vaidya Originally published on Towards AI. Enabling Robust and Flexible Detection of Novel Objects without Extensive Retraining or Data Collection The lack of flexibility is a major challenge with most object detection models as they are specifically trained to recognize …
Deploy HuggingFace NLP Models in Java With Deep Java Library
Author(s): Kexin Feng Originally published on Towards AI. A step-by-step demonstration with HuggingFace question answering model. Authors: Kexin Feng, Cheng-Che Lee HuggingFace is one of the most popular natural language processing (NLP) toolkits built on top of PyTorch and TensorFlow. It has …
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