7:38
Deep learning in 5 minutes | What is deep learning?
AssemblyAI
13:51
Batch normalization | What it is and how to implement it
11:40
Regularization in a Neural Network | Dealing with overfitting
6:43
Activation Functions In Neural Networks Explained | Deep Learning Tutorial
7:56
Backpropagation For Neural Networks Explained | Deep Learning Tutorial
7:15
Bias and Variance for Machine Learning | Deep Learning
10:05
How to evaluate ML models | Evaluation metrics for machine learning
4:10
Weight Initialization for Deep Feedforward Neural Networks
9:16
Recurrent Neural Networks (RNNs) Explained - Deep Learning
5:18
What is Layer Normalization? | Deep Learning Fundamentals
17:19
Neural Networks Summary: All hyperparameters
3:35
Gradient Clipping for Neural Networks | Deep Learning Fundamentals
8:01
What is Natural Language Processing?
19:59
Transformers for beginners | What are they and how do they work
10:52
What is Transfer Learning? | With code in Keras
17:17
A Complete Overview of Word Embeddings
9:00
How Language Models Choose the Next Word
9:33
The Fundamentals of LLM Text Generation
6:18
What is Speculative Sampling? | Boosting LLM inference speed
5:20
Neural Audio Compression | What is Residual Vector Quantization?
