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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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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

Oct 13

Is the RTX 5090 enough for AI? RTX PRO 6000 Blackwell vs RTX 5090 compared

#ai #deeplearning #hardware #machinelearning

5 min read

iradukunda annet

Oct 13

Computer Vision: Learning How Computers See image

#ai #machinelearning #deeplearning #python

3 min read

Anish Rane

Oct 4

Activation Functions in Neural Networks: Sigmoid, Tanh, ReLU, GELU

#machinelearning #deeplearning #ai #beginners

6 min read

Oct 13

DINO-EdgeQuery: Learning Building Edges and Their Connections for GIS-Ready Polygons

#geoai #deeplearning #transformer #dinov3

15 min read

Oct 12

I Set Every Seed and Trained Twice. The Models Diverged at Step 1

#pytorch #machinelearning #deeplearning #reproducibility

4 min read

Dinesh Kumar Sarangapani

Oct 11

Section 1: The dataset and the problem

#ai #data #deeplearning #machinelearning

6 min read

Oct 10

RL 6: Pleasure-Seeking Neurons and the Birth of Backpropagation (1972–1980)

#rl #machinelearning #deeplearning #ai

13 min read

Marita P

Oct 11

Keeping Two Faces From Swapping Mid-Verse: Identity Preservation in AI Music Videos

#ai #deeplearning #machinelearning #softwareengineering

4 min read

Daniel Sam Pete Thiyagu

Oct 10

100,000 Videos in Your Pocket: How Douyin's Recommender Reads Your Whole Life in O(1)

#ai #machinelearning #deeplearning #datascience

7 min read

Dinesh Kumar Sarangapani

Oct 10

Section 3a: f-divergences

#ai #deeplearning #machinelearning

8 min read

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