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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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Meftahul Jannat Mila

Jul 25

Inside the LSTM: An XAI Field Guide to Weather Prediction

#deeplearning #ai #python #datascience

5 min read

Madhumitha Kolkar

Jul 25

I Taught an Agent to Act Directly - No Q-Values Needed (Day 6: REINFORCE)

#machinelearning #deeplearning #python #opensource

3 min read

Madhumitha Kolkar

Jul 24

I Replaced a Q-Table With a Neural Network and Everything Changed - Day 5 (DQN).

#reinforcementlearning #machinelearning #deeplearning #python

4 min read

cognitalk

Jul 24

大语言模型的每个参数到底能储存多少信息

#ai #deeplearning #llm #machinelearning

1 min read

Jul 23

Building Your Own Deep Learning Framework: A 3–5 Month Journey From Zero to Tiny Transformer

#deeplearning #machinelearning #python #tutorial

28 min read

karki vasagnavi

Jul 21

I Finally Understood Why Neural Networks Need Activation Functions

#beginners #deeplearning #machinelearning #python

3 min read

Jul 21

Deep Learning Libraries for Beginners: A Comparative Overview

#deeplearning #ai

6 min read

Jul 20

What Is PEFT? A Guide to Parameter-Efficient Fine-Tuning

#ai #deeplearning #llm #machinelearning

12 min read

Wesam Khallaf — Author of PyTorch From Ground Up

Jul 19

What Does `unsqueeze` Do in PyTorch? (And Why Your Model Keeps Asking For It)

#pytorch #python #beginners #deeplearning

7 min read

Pneumetron

Jul 18

Wan-Dancer-14B: A Hierarchical Approach to Minute-Scale Music-to-Dance Video Generation

#aiml #videogeneration #musictodance #deeplearning

3 min read

jidonglab

Jul 17

Attention Sinks: Why Streaming LLMs Break When You Evict Token 0

#deeplearning #llm #machinelearning #nlp

6 min read

Wesam Khallaf — Author of PyTorch From Ground Up

Jul 17

Reshape vs View in PyTorch: What's the Difference (and When `view()` Breaks)

#deeplearning #machinelearning #python #tutorial

4 min read

Pneumetron

Jul 17

RINO: Unifying Vision Tasks with RGB In and RGB Out

#computervision #machinelearning #deeplearning #rgb

4 min read

GOLLAMANDALA NIREL SOLOMON 2341434

Jul 13

Why Explainability Isn't Optional: XAI in Healthcare, Finance, and Autonomous Vehicles

#ai #datascience #deeplearning #machinelearning

4 min read

ETCH DEV

Jul 11

🧠 Building an Engineering Mindset

#softwaredevelopment #deeplearning #developer #frontend

3 min read

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