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Recent Notes

ADAM
Jun 10, 2026
hyperparam tuning using wandb
Jun 10, 2026
preventing overfitting in nn
Jun 10, 2026
transfer learning
Jun 10, 2026
Building a simple deep nn with 2 hidden layers
Jun 09, 2026
image classification with a simple nn
Jun 06, 2026
UNet
Jun 03, 2026
Point transformers
Jun 01, 2026
Deep Q-Learning
May 31, 2026
Detection transformer
May 30, 2026
filters and convolutions
May 29, 2026
Open AI CLIP
May 28, 2026
swin transformer
May 26, 2026
vision transformers
May 24, 2026
🏠 home
Apr 20, 2026
tf files and directories
Apr 20, 2026
terraform variables
Apr 19, 2026
tf statefile management with az-storage
Apr 16, 2026
az storage using tf
Apr 15, 2026
terraform providers
Apr 14, 2026
what is infra as code?
Apr 14, 2026
docker compose
Apr 09, 2026
langchain
Apr 03, 2026
configmaps and secrets
Mar 30, 2026
all about k8s ingress!
Mar 30, 2026
RBAC
Mar 29, 2026
k8s monitoring
Mar 29, 2026
K8s interview questions
Mar 25, 2026
ansible
Mar 24, 2026
k8s architecture
Mar 22, 2026
docker networking
Mar 20, 2026
docker storage - bind mounts and volumes
Mar 20, 2026
multi-stage builds in docker
Mar 20, 2026
archives in linux
Mar 20, 2026
What are containers?
Mar 18, 2026
container runtimes
Mar 18, 2026
Learning CICD with Azure DevOps
Mar 13, 2026
what are neural networks?
Oct 23, 2025
What is Pytorch?
Oct 23, 2025
what is machine learning?
Oct 21, 2025
what and why ml?
Oct 21, 2025
what is terraform?
Oct 03, 2025
dockerfile
Oct 02, 2025
dockerhub
Oct 02, 2025
terraform with aws
Oct 02, 2025
deploying a qr code generator to learn devops
Oct 01, 2025
binary search
Sep 30, 2025
dynamic programming
Sep 30, 2025
graphs
Sep 30, 2025
greedy
Sep 30, 2025

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computer vision

Jun 10, 20261 min read

adam
optimizer
gradient-descent

ADAM

Adam is a weight optimizer commonly used in most deep learning models by default

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ADAM
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