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Please ensure that any post tagged with #deeplearning is primarily on deep learning while generally can be on machine learning, data science, AI, CS, etc.

Please also be sure that your content adheres to the DEV Code of Conduct and that your comments are constructive and kind.

Conventional machine learning techniques are limited in their ability to automatically transform the raw unstructured data into a suitable internal representation. Deep learning methods are representation learning methods with multiple levels of representation, obtained by composing several simple but non-linear modules that each transform the representation at one level (starting with the raw input) into a representation at a higher, slightly more abstract level - to put it simply - Neural Networks. With the composition of enough such transformations, very complex functions can be learned - a universal approximator.
If you want to share something primarily on deep learning techniques please use #deeplearning tag.

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Boobalan Arjunan

Oct 16

Teaching Generative Audio Models Non-Western Rhythms: Fine-Tuning ACE-Step 1.5 with LoRA on 6/8 South Indian Percussion

#ai #machinelearning #deeplearning #opensource

2 min read

Oct 16

FLUX.3 Image Klein: a 5.6B open-weight image model that fits on an 8GB GPU — and what BFL's numbers mean for your pipeline

#ai #deeplearning #machinelearning #opensource

4 min read

Oct 16

DatasetRT: Stop Rebuilding Datasets to Rebalance Training

#machinelearning #python #rust #deeplearning

7 min read

Ecohash

Oct 16

Qwen-Image-2.1 on RTX PRO 6000: 15-Image Quality and Performance Test

#ai #deeplearning #hardware #machinelearning

8 min read

Oct 16

China's AI Wins: DeepSeek, Robotics and the Race for AI Dominance

#ai #deeplearning #llm #machinelearning

5 min read

Oct 16

The One Knob I Never Swept Was the Optimizer. Adam Beat My Tuned SGD by 0.7

#pytorch #machinelearning #deeplearning #datascience

3 min read

Oct 15

Making PyTorch & Local ML Work on Modest Hardware: Lessons from a 4GB/8GB Laptop GPU

#deeplearning #hardware #machinelearning #python

4 min read

Prabhakar Chaudhary

Oct 15

NoteBank: How Replaying a Few Saved Snippets Restores Long-Context Recall in Linear-Attention Models

#ai #machinelearning #deeplearning #llm

5 min read

Prabhakar Chaudhary

Oct 15

Elastic Transformers Without Retraining: Differentiable Soft Pruning Ranks Every Neuron and Head

#ai #machinelearning #deeplearning #programming

5 min read

Dhruv

Oct 14

Building a Transformer from Scratch: Part 1 — The Embedding Layer

#python #pytorch #machinelearning #deeplearning

2 min read

Prabhakar Chaudhary

Oct 14

YuE2: How Symbolic Planning Brings Transparency and Control to AI Music Generation

#ai #machinelearning #deeplearning #opensource

4 min read

Igihozo Gwiza Aline

Oct 13

From Pixels to Meaning: A Beginner's First Day in Computer Vision

#computervision #python #deeplearning

4 min read

RainyTech

Oct 13

How AI Image Generators Work: I Trained a Diffusion Model From Scratch on My Laptop

#ai #machinelearning #python #deeplearning

7 min read

Anne Marie Twagirayezu

Oct 13

I Showed AI a Crowd of 100+ People. It Found 7

#python #ai #deeplearning #computervision

9 min read

Nadia TETA

Oct 13

Teaching a Computer to See: My First Week of Computer Vision

#ai #deeplearning #machinelearning

2 min read

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