Batch Normalization | How does it work, how to implement it (with code) @misraturp
Batch Normalization | How does it work, how to implement it (with code) @misraturp
Uploaded September 2021 | Updated September 2026, 2 hours ago
Curious about deep learning? Start with the Fundamentals of Deep Learning booklet to learn the essentials in 25 pages - misraturp.gumroad.com/l/fdl

πŸ’ͺ Want to become a deep learning buff? πŸ‘‡ Watch my full course on deep learning on YouTube
youtube.com/playlist?list=PLM8lYG2MzHmQn55ii0duXdO9QSoDF5myF

Batch normalization is the secret weapon that solves the unstable gradients problem for many of the Deep Learning architectures. Let's take a look into how batch normalization works under the hood, what other benefits it has and how we can implement it using Keras on a Jupyter Notebook.

RESOURCES:
Data Science Kick-starter mini-course: misraturp.gumroad.com/l/kick-starter
Pandas cheat sheet: misraturp.gumroad.com/l/pandascs
Fundamentals of Deep Learning in 25 pages: misraturp.gumroad.com/l/fdl

Website - misraturp.com
Twitter - twitter.com/misraturp
Batch Normalization | How does it work, how to implement it (with code)Improve Machine Learning Model Performance with TuningFind missing values in data with Pandas | Beginner tutorialRegularization with Data Augmentation and Early StoppingStep-by-Step Preparing and Training a Machine Learning ModelHands-on Data Science course: Lets build a project together from scratch!How to Do Data Cleaning (step-by-step tutorial on real-life dataset)All Hyperparameters of a Neural Network ExplainedHow to Make Line Charts in Streamlit Using PlotlyWhen Should You Use L1/L2 RegularizationDeep learning fundamentals: What is regularization? Why does it work?How Forward Propagation in Neural Networks works
MΔ±sra Turp |

Batch Normalization | How does it work, how to implement it (with code)

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER