LIFETIME OFFER to POPPY AI 👉
This episode will teach you everything you need to know about the fundamentals of AI and neural networks. 🔥
Harper Carroll, an AI expert from Stanford, breaks down complex concepts like input layers, hidden layers, activation functions, and more.
You’ll learn about overfitting, generalization, and how models are trained and validated.
The conversation covers EPIC topics like the potential risks of AI altering its own reward functions, and provides guidance on how to start learning AI development.|
Follow Harper Carroll 👇
Instagram:
YouTube:
Follow Naz 👇
Instagram:
0:00 Introduction and Harper’s background
4:25 Evolution of AI in recent years
7:41 Neural networks and deep learning explained
16:44 Input data and feature learning in neural networks
23:49 Hidden layers and neurons in neural networks
30:43 Activation functions and their purpose
41:35 Overfitting and generalization in machine learning
52:54 Training, validation and test datasets
59:00 The future of AI and potential risks
1:09:44 How to get started learning AI
[ad_2]
source
