Rishit Dagli's Blog

Rishit Dagli's Blog

Rishit Dagli

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High School,TEDx,2xTED-Ed speaker | International Speaker | Microsoft Student Ambassador | Mentor, TFUGMumbai | Organize KotlinMumbai

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How to Build Better Machine Learning Models

Apr 27, 2021 12 min read

Hello developers 👋. If you have built Deep Neural Networks before, you might know that it can involve a lot of experimentation. In this article, I will share with you some useful tips and guidelines that you can use to better build better deep learn...

How to Build Better Machine Learning Models

The Art of Hyperparameter Tuning in Deep Neural Nets by Example🎨

Jan 22, 2021 21 min read

Hello developers 👋, If you have worked on building Deep Neural Networks earlier you might know that building neural nets can involve setting a lot of different hyperparameters. In this article, I will share with you some tips and guidelines you can ...

💡TensorFlow Tip, use .cache

Jan 1, 2021 1 min read

Originally posted on twitter.com 💡#TensorFlowTip Use .cache to save on some ops like opening file and reading data during each epoch transformations before cache are only run for 1st epoch can cache in-memory or on-disk not repeatedly perform expe...

💡TensorFlow Tip, use .cache

💡TensorFlow Tip, use prefetch

Dec 13, 2020 1 min read

Originally posted on twitter.com 💡 #TensorFlowTip Use .prefetch to reduce your step time of training and extracting data overlap the preprocessing and model execution while the model executes training step n the input pipeline is reading the data ...

💡TensorFlow Tip, use prefetch

Build K-Means from scratch in Python

Dec 12, 2020 10 min read

Build K-Means from scratch in Python Introduction to K-means Clustering K-means clustering is a type of unsupervised learning, which is used when you have unlabeled data (i.e., data without defined categories or groups). The goal of this algorithm i...

Build K-Means from scratch in Python

Machine Learning with Android 11: What’s new

Aug 27, 2020 18 min read

This blog demonstrates how you can get started with on-device ML with tools or plugins specifically launched with Android 11. If you have earlier worked with ML in Android, you will explore easier ways to integrate your ML applications with your Andr...

Machine Learning with Android 11: What’s new