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Ananda Hange
Ananda Hange

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Published in

Nerd For Tech

·Apr 10, 2021

Target Prediction using Single-layer Perceptron and Multilayer Perceptron

This article is mainly written for beginners who want to start their journey into data science or willing to learn Neural Networks from scratch with python coding. Objective: Basic Perceptron Multilayered Perceptron Dive into coding with a small dataset Optimizers Pipeline and App Deployment Conclusion Basic Perceptron A perceptron is a neural…

Perceptron

9 min read

Flux Prediction using Single-layer Perceptron and Multilayer Perceptron
Flux Prediction using Single-layer Perceptron and Multilayer Perceptron
Perceptron

9 min read


Apr 4, 2021

Evaluation Metrics For Regression

Regression refers to predictive modeling problems that involve predicting a numeric value. — It is different from the classification that involves predicting a class label. Unlike classification, you cannot use classification accuracy to evaluate the predictions made by a regression model. I have wrote article on evaluation metrics for classification task you can checkout here . Instead, you must use error metrics specifically…

Regression

8 min read

Evaluation Metrics For Regression
Evaluation Metrics For Regression
Regression

8 min read


Mar 12, 2021

Evaluation Metrics for Classification Problem You Should Know with Python Implementation

A classifier is only as good as the metric used to evaluate it. Evaluating a model is a major part of building an effective machine learning model. The most frequent classification evaluation metric that we use should be ‘Accuracy’. You might believe that the model is good when the accuracy…

Evaluation Metric

14 min read

Evaluation Metrics for Classification
Evaluation Metrics for Classification
Evaluation Metric

14 min read


Published in

MLearning.ai

·Mar 2, 2021

All About Activation Functions In Neural Networks

Neural network activation functions are a crucial component of deep learning. Activation functions determine the output of a deep learning model, its accuracy, and also the computational efficiency of training a model — which can make or break a large-scale neural network. …

Neural Networks

11 min read

All About Activation Functions In Neural Networks
All About Activation Functions In Neural Networks
Neural Networks

11 min read

Ananda Hange

Ananda Hange

6 Followers

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