Foundations
Deep Learning
Neural networks, CNNs, RNNs, transformers, diffusion models and training techniques
Skills in this topic
5 skills — Sign in to track your progress
Neural Network Basics
beginner
Implement a 2-layer net in NumPy and PyTorch
CNN Architectures
intermediate
Build a CNN image classifier in PyTorch
Sequence Models
intermediate
Implement an LSTM text generator
Generative Models
advanced
Train a GAN on image data
Training at Scale
advanced
Use FP16/BF16 mixed precision training
Reddit r/deeplearning
🧬 Deep Learning
⚡ AI Lesson
6d ago
Trained a neural net to reconstruct Bad Apple in real-time.
Code: https://github.com/Pratik-3706/BadApple\\\_nn submitted by /u/Poorboi_0 [link] [comments]

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1w ago
AI/ML Under the Hood — Part 29: CNN Breaking News: Proximity Matters
Kernels, Feature Maps, Padding, Strides, and the Power of Proximity Continue reading on The Thoughtful Engineer »

Medium · Data Science
🧬 Deep Learning
⚡ AI Lesson
1w ago
Deep Learning Scientists — Claude Cowork: The Deep Learning Scientist’s New Lab Partner
Deep learning research runs on two scarce resources: compute and attention. GPUs get more of the first every year, but a scientist’s… Continue reading on Medium

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1w ago
Why Qwen3.8 27B Looked Brilliant in Testing but Failed to Ship My AI Newspaper
Qwen 3.8 27b on a DGX Spark: perfect on my benchmark, and it ran for twenty minutes on the real job, timed out and published nothing… Continue reading on Toward

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
2w ago
The 91% Model: What August’s Benchmarks Reveal About the Real Cost of Staying at the Frontier
Open-weight models didn’t just get smarter last week — they changed the math on whether the last 9% of performance is worth paying for. Continue reading on Towa

Medium · Data Science
🧬 Deep Learning
⚡ AI Lesson
2w ago
Nemotron 3.5 vs Qwen 3.6 vs Muse: I Thought Qwen Was Done. My Experiments Said Something Else.
qwen3.6, muse-glimmer and nemotron-3.5-lightning on a DGX Spark: 13 trick questions, a pressure test, and two bugs that turned out to be… Continue reading on To

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
2w ago
Nemotron 3.5 vs Qwen 3.6 vs Muse: I Thought Qwen Was Done. My Experiments Said Something Else.
qwen3.6, muse-glimmer and nemotron-3.5-lightning on a DGX Spark: 13 trick questions, a pressure test, and two bugs that turned out to be… Continue reading on To

Medium · AI
🧬 Deep Learning
⚡ AI Lesson
2w ago
Why Andrej Karpathy’s makemore Series is the Ultimate Deep Learning Masterclass
How building bigrams, MLPs, WaveNets, and Transformers line-by-line turns black-box AI magic into pure intuition — Without doubt the best… Continue reading on T

Medium · Machine Learning
🧬 Deep Learning
3w ago
Linear, Undercomplete and Overcomplete Autoencoders — Explained Simply
Have you ever wondered how a neural network can learn the important parts of an image without being directly told what those important… Continue reading on Medi

Medium · Data Science
🧬 Deep Learning
3w ago
Linear, Undercomplete and Overcomplete Autoencoders — Explained Simply
Have you ever wondered how a neural network can learn the important parts of an image without being directly told what those important… Continue reading on Medi

Medium · Deep Learning
🧬 Deep Learning
3w ago
Linear, Undercomplete and Overcomplete Autoencoders — Explained Simply
Have you ever wondered how a neural network can learn the important parts of an image without being directly told what those important… Continue reading on Medi

Medium · Python
🧬 Deep Learning
3w ago
Diffusion Models — A Thousand Tiny Problems Instead of One Impossible One
Algorithms in Python — Deep Learning Architectures, Part 9 Continue reading on Medium »
Medium · Deep Learning
🧬 Deep Learning
3w ago
From LSTM to Generative AI: How Deep Learning for Air Quality Prediction Has Evolved
Revisiting my 2020 work on air-quality prediction and exploring what comes next Continue reading on The Startup »
Dev.to AI
🧬 Deep Learning
3w ago
40% Adam Optimizer Improvement: PyTorch Benchmarks
40% Adam Optimizer Improvement If you are training deep learning models in PyTorch, default optimizer implementations leave performance on the table. Check out

Medium · Machine Learning
🧬 Deep Learning
⚡ AI Lesson
3w ago
AI/ML Under the Hood — Part 24: Deep Learning Optimization Algorithms
From Gradient Descent to Adam: Understanding Neural Network Optimization Continue reading on The Thoughtful Engineer »

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
3w ago
AI/ML Under the Hood — Part 24: Deep Learning Optimization Algorithms
From Gradient Descent to Adam: Understanding Neural Network Optimization Continue reading on The Thoughtful Engineer »

Medium · Data Science
🧬 Deep Learning
3w ago
Deep Learning Tutorials Lie to You: What Nobody Tells Beginners in 2026
Here is friend Link … Continue reading on Medium »

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
3w ago
Train Neural Networks without Draining your Pocket: Mixed Precision and Pixel Precision in Native…
Learn how to train your model faster with Mixed precision and Pixel precision using PyTorch. Complicated than Lightning but comes with… Continue reading on Medi
Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
3w ago
Beyond Attention: Spectron
A Mathematical Framework for Next-Generation AI Continue reading on Medium »

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
4w ago
Optimizers in Deep Learning: From Gradient Descent to Adam:
Have you ever wondered how Artificial Neural Networks learn from their mistakes? Continue reading on Medium »
ArXiv cs.AI
🧬 Deep Learning
📄 Paper
⚡ AI Lesson
4w ago
Deep Learning CNN and Recurrence Analysis for Alpha Gamma EEG Biomarkers in Fragile X Syndrome
arXiv:2608.00835v1 Announce Type: cross Abstract: Fragile X Syndrome (FXS) is a neurodevelopmental disorder caused by reduced expression of fragile X mental ret
Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
4w ago
☁️ Yerel Makineden Buluta: Araç Değerleme ve Hasar Tespit Modellerini Nasıl Ölçeklendirdim?
Yazılım geliştirme ve makine öğrenimi disiplinlerini harmanlayan, uçtan uca çözümler üretmeye odaklı bir mühendis adayı olarak verinin… Continue reading on Medi
Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
Inkling-Small — Strong Performance at a Quarter of the Size of Inkling
On July 30th, Thinking Machines released Inkling-Small. It is an open-weight model that achieves comparable performance to Inkling at a… Continue reading on MLW

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
Day 1 of trying to get back to studying: (Subject of choice: Neural Networks)
I decided I will try to learn neural networks from scratch. Continue reading on Medium »

Medium · Deep Learning
🧬 Deep Learning
1mo ago
Gated Recurrent Unit (GRU): A Simpler Alternative to LSTM
Hello everyone Continue reading on Medium »

Medium · Machine Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
I Turned Pop Songs Into Classical Music With AI
No PyTorch, no GPU — just NumPy and a conditional autoencoder Continue reading on Medium »

Medium · Python
🧬 Deep Learning
⚡ AI Lesson
1mo ago
I Turned Pop Songs Into Classical Music With AI
No PyTorch, no GPU — just NumPy and a conditional autoencoder Continue reading on Medium »

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
I Turned Pop Songs Into Classical Music With AI
No PyTorch, no GPU — just NumPy and a conditional autoencoder Continue reading on Medium »

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
How I Implemented NeRF From Scratch
I spent weeks implementing NeRF from scratch, documenting every breakthrough, mistake, and lesson along the way. Continue reading on Medium »

Medium · Python
🧬 Deep Learning
⚡ AI Lesson
1mo ago
Deep Learning Essentials — (7) Variational Autoencoder
Deep Learning Foundations, Models for Images and Sequences, and Generative AI Continue reading on Medium »

Hackernoon
🧬 Deep Learning
⚡ AI Lesson
1mo ago
How Deep Learning Is Reshaping Early Cardiovascular Risk Assessment
Discover how deep learning, predictive analytics, and hybrid CNN-GRU models are improving early cardiovascular risk assessment through AI-driven healthcare.

Medium · Deep Learning
🧬 Deep Learning
1mo ago
LSTM vs RNN: Understanding the Differences Through Simple Examples
Hello everyone Continue reading on Medium »

Medium · Data Science
🧬 Deep Learning
1mo ago
Deep Learning 101: Everything You Need to Know Before Your Next Interview
Introduction Continue reading on Medium »

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
Natural Language Processing
From Text to Sequence Models — — RNN, LSTM & GRU Continue reading on Medium »

Medium · Machine Learning
🧬 Deep Learning
1mo ago
Master TensorFlow and PyTorch : Advanced Machine Learning Course & Deep Learning in Telugu
Introduction Continue reading on Medium »

Medium · Deep Learning
🧬 Deep Learning
1mo ago
Master TensorFlow and PyTorch : Advanced Machine Learning Course & Deep Learning in Telugu
Introduction Continue reading on Medium »

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
Deep Learning in Generative AI: From Fundamentals to Cutting-Edge Applications
Artificial Intelligence has entered a new era where machines are no longer limited to analyzing information — they can now create it. This… Continue reading on
Reddit r/deeplearning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
Implemented the Original NST Paper from Scratch – Feedback Welcome
Hey everyone, I recently implemented the original Neural Style Transfer (NST) paper entirely from scratch in PyTorch and tried to reproduce the original results

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
Master Modern AI: Complete Guide to IEEE Deep Learning Projects for Engineering Students
As artificial intelligence continues to redefine global technology landscapes, hands-on exposure to advanced neural architectures has… Continue reading on Mediu

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
Generating Realistic Mars Images Using DCGAN: A Deep Learning Guide
Learn how Deep Convolutional Generative Adversarial Networks (DCGANs) can generate realistic images of Mars by learning directly from real… Continue reading on
Medium · Python
🧬 Deep Learning
⚡ AI Lesson
1mo ago
A Beginner’s Guide to Deep Learning Libraries in Python
Choosing the right deep learning library in Python is one of the first real decisions you’ll make as you move from tutorials into projects… Continue reading on
Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
A Beginner’s Guide to Deep Learning Libraries in Python
Choosing the right deep learning library in Python is one of the first real decisions you’ll make as you move from tutorials into projects… Continue reading on

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
Deep Learning Bootcamp and Essentials
1. Foundations of Deep Learning Continue reading on Medium »
Dev.to AI
🧬 Deep Learning
1mo ago
Conditional Flow Variational Autoencoders for Structured Sequence Prediction

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
R5 — Time is the fifth register
Four registers was almost right. Look at what the system actually manages in every documented case and a fifth appears: time itself — the… Continue reading on M

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
Why Scale-Up Is Where Most Deep Tech Dies
A technology rarely fails because it doesn’t work. More often, it fails because it only works under conditions the real world cannot… Continue reading on Medium

Medium · Deep Learning
🧬 Deep Learning
⚡ AI Lesson
1mo ago
The Operator Assumed a Grid
Six Changes That Made DeepONet Work on Irregular GNSS Slant TEC — Kernel-Reconstructed Inputs, Sobol Sensors, Gated Fusion, and a… Continue reading on Medium »

Dev.to · Biki Kalita
🧬 Deep Learning
⚡ AI Lesson
1mo ago
Building Your Own Deep Learning Framework: A 3–5 Month Journey From Zero to Tiny Transformer
Prologue: The Machine That Learns to Learn Somewhere in a research lab in the early 2010s,...
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