filmov
tv
Все публикации
0:02:38
Understanding Denoising Autoencoders: Prevent Overfitting in Deep Learning
1:23:24
How to Monitor Hugging Face Models with Weights & Biases
0:06:20
Unlocking Deep Learning with Sparse Autoencoders
0:03:59
Mastering Autoencoders: Overcomplete Hidden Layers Explained!
1:36:13
Build Your Own RAG System with HuggingFace and Open Source LLMs
0:06:14
Train AUTOENCODERS in Neural Networks LIKE A PRO
0:10:57
Autoencoders in Neural Networks Explained: The Key to Data Compression and Feature Detection
0:03:39
3 Must-Know LSTM Variations to Enhance Your AI Models
0:15:00
The Hidden Power of LSTMs: Is Your AI Missing This?
0:19:54
Understanding Long Short-Term Memory Networks
0:14:30
Vanishing Gradient Problem in Recurrent Neural Networks (RNNs) Explained!
1:23:06
Create Your First AI Model Portfolio with Hugging Face
0:06:55
How to Navigate Super Data Science Like a Pro
0:16:03
How Recurrent Neural Networks (RNNs) Mimic Human Short-Term Memory
0:18:15
Softmax and Cross Entropy: The Dynamic Duo of Convolutional Neural Networks
0:19:22
AI Predictions 10X BETTER Using Fully Connected Layers!
0:05:42
17 Career Paths in Data Science, Machine Learning & AI - Which Fits You?
0:01:55
Flattening in Convolutional Neural Networks (CNNs) Explained
1:24:21
STOP Writing Neural Networks From Scratch - Do THIS Instead | HUGING FACE AI LIVE LAB
0:14:16
How MAX POOLING Makes Convolutional Neural Networks unstoppable!
0:06:42
Why ReLU (Rectified Linear Unit) is Crucial for Convolutional Neurel Networks: A Simple Guide
0:15:56
How AI Sees The World! The Magic Behind Convolutional Neural Networks (CNNs)
0:08:49
Deep Learning Optimization: Stochastic Gradient Descent Explained
0:10:12
Gradient Descent: The Smart Way to Train Neural Network
Вперёд