Deep Learning with Yacine

1:15:45

Exploring "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"

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1:15:44

Exploring "LLM can invent their own compression" with Rajan Agarwal | Deep Learning Study Session

Deep Learning with Yacine

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1:19:12

Exploring "Understanding R1-Zero-Like Training (Dr. GRPO)" | Deep Learning Study Session

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1:29:26

How to build runescape for RL Agent? | Neural MMO v3 with Joseph Suarez

Deep Learning with Yacine

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1:09:42

How to Finetune 8 Billion Parameters with Evolution Strategies? | with Yulu Gan

Deep Learning with Yacine

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1:08:41

exploring "Evolution Strategies at Scale for LLM Finetuning" | Deep Learning Study Session

Deep Learning with Yacine

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1:34:34

exploring TRM "Less is More: Recursive Reasoning with Tiny Networks" | Deep Learning Study Session

Deep Learning with Yacine

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1:12:32

exploring emergent hierarchical reasoning in LLMs with RL (2025) | Deep Learning Study Session

Deep Learning with Yacine

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1:44:11

adagrad, adadelta, adam, adamax, adamw, aaaahhhhhh | Deep Learning Study Session

Deep Learning with Yacine

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2:23:12

Optimizers, ARC-AGI and Evolutionary Algorithm | Deep Learning Study Session

Deep Learning with Yacine

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1:17:39

Exploring "How large language models encode theory-of-mind" (2025) | Deep Learning Study Session

Deep Learning with Yacine

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1:19:53

Exploring Muon-Clip in kimi k2 (2025) | Deep Learning Study Session

Deep Learning with Yacine

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1:13:20

Learning the periodic table by heart in 2 days | deep learning study sessions

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1:34:55

Exploring "Logical Calculus of Nervous Activity" by McCulloch/Pitts (1943)

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1:59:10

Exploring "Hierarchical Reasoning Models" by Sapient (2025)| Deep Learning Study Session

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2:16:27

The Neural Basis of Moral Judgement | Neuro/AI Paper Review

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1:02:45

Exploring "XXt Can Be Faster" by Rybin et al. (2025) | Deep Learning Study Session

Deep Learning with Yacine

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2:44:51

Coding backprop through time in Python | Mathematics for Machine Learning Study Session

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2:06:53

Exploring Log-Linear Attention by Guo, Yang et al. (2025) | Deep Learning Study Session

Deep Learning with Yacine

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1:23:01

Coding a RNN in Python | Mathematics for Machine Learning Study Session

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1:06:55

Coding Adam Optimizer in Python | Mathematics for Machine Learning Study Session

Deep Learning with Yacine

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1:15:16

What the heck is Artificial Immune System??? | AI Paper Review

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2:07:05

Coding a Composite Hypervector in Python | Mathematics for Machine Learning Study Session

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2:34:06

Exploring the Continuous Thought Machine by Sakana AI | Deep Learning Study Session

Deep Learning with Yacine

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2:22:26

Coding Gaussian Elimination in Python | Mathematics for Machine Learning Study Session

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2:38:35

Coding Masked Self-Attention from Scratch in Python | Deep Learning Study Session

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2:34:31

Coding Reduced Row Echelon Form in Python | Mathematics for Machine Learning Study Session

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3:37:29

Coding Gauss-Seidel Method in Python | Mathematics for Machine Learning Study Session

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2:09:41

Coding Conjugate Gradient Method in Python | Mathematics for Machine Learning Study Session

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3:40:00

How to Code Singular Value Decomposition? | Mathematics for Machine Learning Study Session

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3:17:01

Linear Algebra Study Session - Coding Session in Python | Mathematics for Deep Learning

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49:10

Linear Algebra Study Session - Laplace Expansion in Python | Mathematics for Deep Learning

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1:16:59

Linear Algebra Study Session - Sarrus Rule and Laplace Expansion | Mathematics for Deep Learning

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2:38:56

Linear Algebra Study Session - Python Coding (2) | Mathematics for Deep Learning

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2:39:46

Linear Algebra Study Session - Python Coding | Mathematics for Deep Learning

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2:55:11

Linear Algebra Study Session - Gaussian Elimination | Mathematics for Machine Learning (3)

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1:31:47

Linear Algebra Study Session - Mathematics for Machine Learning - Part 3

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1:08:27

Linear Algebra Study Session - Mathematics for Machine Learning - Part 1

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2:25:41

Linear Algebra Study Session (Intro and Chapter 2) - Mathematics for Machine Learning

Deep Learning with Yacine

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