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Machine Learning (ML) Algorithms For Beginners with Code Examples in Python
Author(s): Pratik Shukla, Roberto Iriondo, Sherwin Chen Machine Learning Algorithms Tree | Source: Image authored by Sherwin Chen, please cite it accordingly whenever used. The citation can be found at the bottom of the article. Overview of the major machine learning algorithms …
Tutorial on LSTMs: A Computational Perspective
Author(s): Manu Rastogi, Ph.D. Photo by Jack Nagz on Unsplash In recent times there has been a lot of interest in embedding deep learning models into hardware. Energy is of paramount importance when it comes to deep learning model deployment especially at the edge. There is …
Getting Started with Kaggle Competitions Using Monk AI
Author(s): sinchana S.R Deep Learning Monk is a low code deep learning tool and a suitable wrapper for computer vision. Monk Features Low-code. Unified wrapper over major deep learning framework s — Keras, PyTorch, gluoncv. Syntax invariant wrapper. Monk Enables To create, manage, and version control …
Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
Author(s): Rafay Khan Understanding new concepts can be hard, especially these days when there is an avalanche of resources with only cursory explanations for complex concepts. This blog is the result of a dearth of detailed walkthroughs on how to create neural …
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