Homepage
Open in app
Sign in
Get started
ML Cheat sheet
Paving your path to the world of machine learning
Machine Learning
Deep Learning
Follow
Comprehensive introduction to Autoencoders
Comprehensive introduction to Autoencoders
In today’s post I would like to give you a deep introduction into a neural network architecture type called Autoencoders. The post is aimed…
Emma Amor
Nov 22, 2021
Understanding Non-Linear Activation Functions in Neural Networks
Understanding Non-Linear Activation Functions in Neural Networks
Back in time when I started getting deep into the field of AI, I used to train machine learning models using state-of-the-art networks…
Emma Amor
May 29, 2020
Machine learning curriculum : From Rookie to Mastery
Machine learning curriculum : From Rookie to Mastery
Machine Learning curriculum designed around (mostly) free online courses to guide your journey from a rookie to mastery
Sowmya Yellapragada
Apr 28, 2020
A Beginner intro to Convolutional Neural Networks
A Beginner intro to Convolutional Neural Networks
Convolutional Neural Networks(CNN) emerged from the study of the brain’s visual cortex, and that they are utilized in image recognition…
Emma Amor
Apr 14, 2020
Neural Networks: How to Build a cat classifier from scratch!
Neural Networks: How to Build a cat classifier from scratch!
How to apply Logistic regression with a neural network mindset for image classification?
Emma Amor
Mar 24, 2020
Deep Dive into the Google Inception Network Architecture!
Deep Dive into the Google Inception Network Architecture!
In recent years, mainly due to advances in deep learning, more concretely convolutional networks, the quality of image recognition and…
Emma Amor
Mar 12, 2020
Understanding the Bias-Variance Tradeoff!
Understanding the Bias-Variance Tradeoff!
What is bias and variance trade-off? This is one of the first stepping stones in most ML interviews and preliminary ML discussions. One…
Emma Amor
Mar 2, 2020
The curious case of the vanishing & exploding gradient
The curious case of the vanishing & exploding gradient
How to avoid the Vanishing/exploding gradients problem in deep neural networks!
Emma Amor
Feb 26, 2020
Understanding Loss Functions in Computer Vision!
Understanding Loss Functions in Computer Vision!
Choosing the right loss function can optimize the model convergence, also help to focus on the right set of features in model training.
Sowmya Yellapragada
Feb 18, 2020
Common loss functions that you should know
Common loss functions that you should know
Popular and commonly used loss functions in ML that every ML engineer should be aware of. Learn more about their pros and cons here
Sowmya Yellapragada
Feb 14, 2020
4 CNN Networks Every Machine Learning Engineer Should Know!
4 CNN Networks Every Machine Learning Engineer Should Know!
Over the years, variants of CNN architectures have been developed, leading to amazing advances in the field of deep learning. A good…
Emma Amor
Feb 12, 2020
Machine Learning Evaluation Metrics
Machine Learning Evaluation Metrics
Evaluation metrics help to evaluate the performance of the machine learning model. They are an important step in the training pipeline to…
Emma Amor
Feb 2, 2020
About ML Cheat Sheet
Latest Stories
Archive
About Medium
Terms
Privacy
Teams