Beginner’s guide to Timeseries Forecasting with LSTMs using TensorFlow and Keras
Author(s): Sanku Vishnu Darshan A-Z explanation of the usage of Timeseries Data for forecasting Photo by Icons8 team on Unsplash Hello, everyone. I welcome you to the Beginner’s Series in Deep Learning with TensorFlow and Keras. This guide will help you understand the …
How Control-Allocation for Multirotor Systems Works
Author(s): Benjamin Haller A mathematical explanation of how drones function Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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 …
Decision Trees Explained With a Practical Example
Author(s): Davuluri Hemanth Chowdary Fig: A Complicated Decision Tree A decision tree is one of the supervised machine learning algorithms. This algorithm can be used for regression and classification problems — yet, is mostly used for classification problems. A decision tree follows a set of …
Linear Regression Complete Derivation With Mathematics Explained!
Author(s): Pratik Shukla Machine Learning Part 3/5 in Linear Regression Part 1: Linear Regression From Scratch. Part 2: Linear Regression Line Through Brute Force. Part 3: Linear Regression Complete Derivation. Part 4: Simple Linear Regression Implementation From Scratch. Part 5: Simple Linear Regression Implementation Using …
An End-to-End Comprehensive Summary of Machine Learning
Author(s): Nkwawir Beltus Photo by h heyerlein on Unsplash Machine Learning A cheat sheet for machine learning concepts and practical implementation tips Introduction If you are new to the machine learning world and want to get your feet wet super-fast in all …
Understanding Bias in the Simplest Plausible Way
Author(s): Anirudh Dayma I have recently started exploring Neural networks, and I came across the term activation function and biases. Activation function kinda made some sense to me, but I found it difficult to get the exact essence of biases in Neural …
26 Words About Neural Networks, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Artificial Intelligence Think you can explain these? Put your knowledge to the test! Source: NeedPix [This is the 6th part of a series. Make sure you read about Search, Knowledge, Uncertainty, Optimization, and Machine Learning before continuing. The next topic …
Convolution of Signals in 1-Dimension
Author(s): sinchana S.R Mathematics Convolution is one of the most useful operators that finds its application in science, engineering, and mathematics Convolution is a mathematical operation on two functions (f and g) that produces a third function expressing how the shape of …
NLP News Cypher | 05.17.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Sherly Tay on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 05.17.20 Oasis You may have heard, Elon Musk isn’t very happy. And it didn’t help when the Head …
Recent Posts
