Understanding and coding Neural Networks From Scratch in Python and R
Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most …
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Improving Neural Networks – Hyperparameter Tuning, Regularization, and More (deeplearning.ai Course #2)
This article is a comprehensive guide to course #2 of the deeplearning.ai specialization – hyperparameter tuning, regularization & more in neural networks!
An Introductory Guide to Deep Learning and Neural Networks (Notes from deeplearning.ai Course #1)
This is a comprehensive introduction to the world of deep learning and neural networks. These are essentially course notes from deeplearning.ai’s course #1.
11 most read Machine Learning articles from Analytics Vidhya in 2017
Introduction The next post at the end of the year 2017 on our list of best-curated articles on – “Machine Learning”. These curated articles …
Introduction to Gradient Descent Algorithm (along with variants) in Machine Learning
Introduction Optimization is always the ultimate goal whether you are dealing with a real life problem or building a software product. I, as a …
The Evolution and Core Concepts of Deep Learning & Neural Networks
Introduction With the evolution of neural networks, various tasks which were considered unimaginable can be done conveniently now. Tasks such as image recognition, speech recognition, …
Practical Guide to implementing Neural Networks in Python (using Theano)
Introduction In my last article, I discussed the fundamentals of deep learning, where I explained the basic working of a artificial neural network. If …
