What are the Sequences?
Author(s): Sanku Vishnu Darshan Originally published on Towards AI. The Vanishing Gradient Problem Photo by Icons8 team on Unsplash Hello, everyone, I welcome you to the Beginnerβs Series in Deep Learning with TensorFlow and Keras. This guide will help you understand the …
How to Build and Train Your First Neural Network
Author(s): Davuluri Hemanth Chowdary Originally published on Towards AI. Machine Learning Source: PythonProgramming Before we dive into the process of building the neural network, there are few prerequisites which you need to know. Tensor Tensor Operations Differentiation Gradient Descent Make sure you …
How to Build and Train Your First Neural Network
Author(s):Β Davuluri Hemanth Chowdary Source: PythonProgramming Before we dive into the process of building the neural network, there are few prerequisites which you need to know. Tensor Tensor Operations Differentiation Gradient Descent Make sure you go through those topics for a better understanding …
1. Benchmark forecasting
Author(s): Mahbubul Alam Originally published on Towards AI. Data Science Photo by Greg Rakozy on Unsplash Time-series forecasting is one of the most talked-about topics in data science. Not surprisingly, there is a rich forecasting toolbox with many different options to choose …
Evaluation Metrics for Regression Problems
Author(s): Edward Ma Originally published on Towards AI. Data Science Photo by Edward Ma on Unsplash If you do not know how to justify whether model is good or not, it is similar to you want to get something but you do …
How To Develop A Game Using Computer Vision
Author(s): Ritheesh Baradwaj Yellenki Originally published on Towards AI. Computer Vision Playing A Racing Game using Hand Tracking, Artificial Intelligence Picture made using Canva If you are an excited geek and love Computer Vision, AI here is an interesting application for you. …
Dreamer: A State-of-the-art Model-Based Reinforcement Learning Agent
Author(s): Sherwin Chen Reinforcement Learning A brief walk-through of a state-of-the-art model-based reinforcement learning algorithm Image by Leandro De Carvalho fromΒ Pixabay We discuss a model-based reinforcement learning agent called Dreamer, proposed by Hafner et al. at DeepMind that achieves state-of-the-art performance on …
Configuration
Author(s): Benjamin Haller Originally published on Towards AI. Photo by Dose Media on Unsplash Applied Mathematics How Control-Allocation for Multirotor Systems Works A mathematical explanation of how drones function Seeing drones fly always makes you think how it can hold itself stable …
Tutorial on LSTMs: A Computational Perspective
Author(s):Β Manu Rastogi, Ph.D. Photo byΒ Jack NagzΒ onΒ 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 …
3 Levels of Data Science
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Data Science Top highlight Image by Benjamin O. Tayo This article will discuss what I consider to be the three levels of data science competency, namely: level 1 (basic level); level 2 …
Kannada MNIST Classification using Monk
Author(s): sinchana S.R Kannada is the second oldest of the four major Dravidian language spoken predominantly by people of… Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Scrum 101 β Increasing Your Value
Author(s): Onur Okyol Originally published on Towards AI. Project Management Photo by Jo Szczepanska on Unsplash Customers, competitors, demands are many. We are more likely to quit the race every time we are left behind. Quality and speed are inseparable. We need …
Ensuring Success Starting a Career in Machine Learning (ML)
Author(s): Roberto Iriondo Machine learning (ML) careers in industry and academia are in such high demand, how do you assure you can succeed in such a competitiveβ¦ Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Artificial Neural Network Ship Crew size Prediction Model
Author(s): Vivek Chaudhary The objective of this blog is to design a Neural Network Model to predict Ship Crew Size. The nature of this model will be Regression. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …