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LunarTech @UCJuyD4QIL-UUNs2fCmGogEw@youtube.com

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Hey there! We are Tatev and Vahe from #LunarTech. Our goal


07:53
How LUNARTECH is Creating World-Class AI Engineers | The Apprenticeship Redefining Tech Talent
06:18
LunarTech Academy 🚀 The Elite Launchpad for AI & Data Science Careers
43:19
LunarTech Academy: The Future of AI & Tech Education Starts Here
54:08
Armenia’s AI Revolution 🇦🇲 Monopolies, Students & the Battle for the Future | LunarTech
04:12
AI for Telecom Executives 🚀 Master Generative AI & Dominate the Network Future | LUNARTECH Bootcamp
06:05:38
Deep Learning Masterclass by Yann LeCun | NYU Full Course (Part 1, 40 Hours)
01:08:00
How to Get Into AI Without a PhD: Insider Tips from AWS GenAI Leader Eduardo Ordox
01:06:57
AI Agents Are Coming: Who Survives? Data Science vs AI Engineering, From Elon Musk’s to Sam Altman
01:17:00
From Doha to the $600 B AI Gold Rush: Startup Secrets, Culture Hacks & the 2034 World Cup
22:07
LLM Fine-Tuning: The ULTIMATE Technique for Specialized AI (Full Course Intro)
05:09
How to Vectorize Unstructured Data | Vectorize.io | Building RAG Pipeline | Vectorization Tool | LLM
08:31
Activation Functions Unleashed: Conquer the Vanishing Gradient!
04:07
What is Deep Learning? Uncover the Brainpower Behind AI
07:14
Neural Networks Unleashed: How Brain-Inspired Learning Drives AI
03:34
Decoding the Deep Learning Neuron: Weights, Bias & Activations Unveiled
07:53
Mastering Neural Network Architecture: One Hidden Layer Simplified
04:14
Deep Learning vs Traditional ML: Neural Networks Redefining AI
04:01
Activation Functions in Neural Networks: Mastering Nonlinearity
13:43
Unlocking Activation Functions: Sigmoid, tanh, ReLU & Leaky ReLU Demystified
01:27
No Activation? No Hidden Magic – Neural Networks Reduced to Linear Regression
05:53
Neural Network Training Demystified: Forward Pass & Backprop Unleashed!
10:41
Unlocking Gradient Descent: Optimize Neural Network Training
05:33
Deep Learning Optimizers: Unlocking Global Error Minimization Mastery
08:39
Backpropagation Demystified: Unleashing Deep Learning's Inner Power
03:05
Backpropagation vs. Gradient Descent: The Core Difference Unleashed!
07:01
Vanishing Gradients Exposed: Unmasking the Hidden Flaw in Narrow Networks
04:40
Hidden Neuron Breakdown: Cracking the Backpropagation Code
06:39
Unlocking the Power of Loss Functions in Deep Learning: MSE, Cross Entropy & More!
03:41
Cross Entropy Unleashed: Mastering Multiclass Loss Functions
03:40
Unlocking the Secrets of Softmax: Multiclass Cross Entropy Demystified
06:11
SGD Unveiled: The Fast, Noisy Path to Neural Network Mastery
06:18
Unlocking Neural Networks: The Computational Graph Revolution
07:46
Mastering Batch Size in Deep Learning: Small vs. Large Unveiled
05:51
SGD Oscillation Exposed: Unraveling the Local Minimum Trap
05:19
GD vs SGD: 4 Powerful Differences Redefining Model Training
07:00
SGD with Momentum: Unleashing the Power of Enhanced Optimization
05:27
Batch vs Mini-Batch vs Stochastic Gradient Descent: Unleash Optimization Power
04:10
Batch Size Impact: Unleashing Deep Learning Performance
05:36
Unlock FASTER Deep Learning Training? The Hessian Matrix EXPLAINED! (Pros & CRUSHING Cons)
05:28
Revolutionize Your Deep Learning: Adaptive Learning Rates & Methods UNLEASHED!
05:28
Unlock Peak Performance: RMSprop Explained - Conquer Gradient Chaos in Deep Learning
07:03
Decoding Adam: The Adaptive Optimizer Revolutionizing Deep Learning!
05:57
The Superiority of AdamW in Deep Learning: Enhanced Generalization Through Decoupled Weight Decay
09:25
UNLOCK Faster Training & STABLE Neural Networks with Batch Normalization!
03:39
Level Up Your Neural Networks! Understanding Layer Normalization (Beyond Batch Norm!)
03:04
Stop Exploding Gradients! Unlock Stable Neural Networks with Gradient Clipping!
04:12
Vanishing Gradients BE GONE! Top 5 Ways to Fix Deep Learning's BIGGEST Problem!
02:10
Exploding Gradients SOLVED! Top 2 Methods for Deep Learning Stability
03:32
Overfitting in Neural Networks EXPLAINED! How Weights Cause the Problem!
05:19
Unlock Deep Learning Power: What is Dropout & How It CRUSHES Overfitting!
07:36:31
Объяснение основ искусственного интеллекта! Полный курс по машинному обучению | Stanford (CS229) Ч.3
08:56:47
Объяснение основ искусственного интеллекта! Полный курс по машинному обучению | Stanford (CS229) Ч.2
01:39
How Dropout Magically STOPS Neural Network Overfitting! (Explained Simply)
04:42
Dropout vs. Random Forest: Twins or Distant Cousins? Unpacking the Overfitting Fighters!
05:26:22
Build a Video Playback App with Next.js, tRPC, and Prisma
02:36
Dropout's BIG Secret for Deep Learning: Training vs. Testing Matters! (Activation Scaling Explained)
04:16
L1 & L2 Regularization EXPLAINED: Stop Overfitting in Neural Networks!
04:59
L1 vs L2 Regularization DECODED! Ridge vs Lasso - Which Prevents Overfitting Best?
02:49
L1 vs. L2 Regularization DECODED: The Impact on Neural Network Weights! (Deep Learning Fundamentals)
02:28
What IS the Curse of Dimensionality? (Why High Dimensions Break ML Models!)