15:16
Building your first Neural Network
10:18
Backpropagation in Neural Networks - EXPLAINED!
12:32
Activation functions in neural networks
10:19
Optimizers in Neural Networks - EXPLAINED!
8:14
Loss functions in Neural Networks - EXPLAINED!
17:00
Batch Normalization in neural networks - EXPLAINED!
12:58
Embeddings - EXPLAINED!
16:22
Transfer Learning - EXPLAINED!
13:21
NLP with Neural Networks | ngram to LLMs
15:54
How much training data does a neural network need?
16:32
Hyper parameters - EXPLAINED!
