Видео 32
Просмотров 505

The Secret to Making Neural Networks Understand: Activation Functions Explained!

11:54

Matrix Multiplication for Neural Networks: A Deep Dive

10:37

Richard Aragon on the Future of AI: Quantum Computing and Beyond @richardaragon8471

53:31

Unlocking Vectorization: How Neural Networks Can Process Multiple Data Points at Once

19:13

Unlocking the Power of Neural Networks: A Beginner's Guide

20:06

Uncovering the Layers of a Neural Network

6:36

AI, Quantum Computing, and the Future of Humanity: A Conversation with Richard Aragon

Join us for a riveting chat with Richard Aragon, a researcher, educator, and code whisperer who bridges the gap between cutting-edge science and everyday understanding. In this episode, Richard breaks down how quantum computing could crack problems like climate modeling and drug discovery, why AI’s "black box" problem still keeps engineers up at night, and how his RUclips tutorials turn mind-bending research papers into usable code. We’ll explore the real-world stakes of today’s tech: Can we trust AI to make ethical decisions? Will quantum computers break the internet? And how do we prepare for a world where machines learn faster than humans? Whether you’re a techie, entrepreneur, or just...

Видео

The Secret to Making Neural Networks Understand: Activation Functions Explained!

11:54

The Secret to Making Neural Networks Understand: Activation Functions Explained!

Просмотров 3812 часов назад

Unlock the power of neural networks with our explanation of activation functions! These special helpers take information from your brain's senses and turn it into language that the brain can understand. From sigmoid to ReLU, we'll break down the different types of activation functions and why they're essential for making neural networks work. Join us as we dive into the world of neural networki...

Matrix Multiplication for Neural Networks: A Deep Dive

10:37

Matrix Multiplication for Neural Networks: A Deep Dive

Просмотров 612 часов назад

In this video, we'll take a closer look at the world of matrix multiplication and its application in neural networks. We'll explore how to use matrix multiplication to vectorize your neural network, understand the benefits and limitations, and provide examples of how to implement it in practice.

Richard Aragon on the Future of AI: Quantum Computing and Beyond @richardaragon8471

53:31

Richard Aragon on the Future of AI: Quantum Computing and Beyond @richardaragon8471

Просмотров 73День назад

@richardaragon8471, a prominent figure in the AI field, shares his insights on the future of artificial intelligence. His discussion explores the potential of quantum computing to revolutionize AI and the possibilities that lie beyond.

Unlocking Vectorization: How Neural Networks Can Process Multiple Data Points at Once

19:13

Unlocking Vectorization: How Neural Networks Can Process Multiple Data Points at Once

Просмотров 21День назад

In this video, we'll explore the concept of vectorization and how it enables neural networks to process multiple data points simultaneously. We'll dive into the math behind matrix multiplication and show you how to apply vectorization techniques to your own projects. From images to text, learn how to speed up your neural network's processing power and unlock new possibilities.

Unlocking the Power of Neural Networks: A Beginner's Guide

20:06

Unlocking the Power of Neural Networks: A Beginner's Guide

Просмотров 2014 дней назад

In this video, we'll take a step into the world of neural networks, exploring what they are, how they work, and how we can use them to solve problems. We'll delve into the basics of multi-layer neural networks, including input layers, hidden layers, and output layers, and learn how parameters like weights and bias play a crucial role in their functionality. Whether you're a beginner or just loo...

Uncovering the Layers of a Neural Network

6:36

Uncovering the Layers of a Neural Network

Просмотров 1914 дней назад

In this explanation, we'll take a closer look at the inner workings of a neural network. We'll explore the different layers that make up this complex system, including the input layer, hidden layer, and output layer. From there, we'll dive into what happens inside the hidden layer when the network is trained, and how parameters and activations play a key role in solving the puzzle.

How Neural Networks Work: A Quick Introduction

9:52

How Neural Networks Work: A Quick Introduction

Просмотров 2514 дней назад

In this video, we'll give you a quick overview of how neural networks work. You'll learn that they're essentially stacking multiple layers of calculations to make predictions, similar to logistic regression. We'll break down the process step by step, and introduce you to some new notation and concepts that will help you understand how neural networks learn and improve over time.

9:21

Python Broadcasting

Просмотров 621 день назад

Introducing Python Broadcasting - A powerful technique for distributing data across multiple GPUs. - Enables efficient parallel computation without complex manual coding. - Key concepts: axis-wise broadcasting and efficient memory allocation.

Vectorized Logistic Regression for Speed

13:34

Vectorized Logistic Regression for Speed

Просмотров 421 день назад

The benefits of vectorization for logistic regression are explored. The video demonstrates how to implement this technique for improved efficiency and speed in machine learning models.

logistic regression with Vectorization and intro to broadcasting

11:15

logistic regression with Vectorization and intro to broadcasting

Просмотров 221 день назад

The process of vectorization is explained in detail, demonstrating how it can significantly speed up logistic regression calculations. By applying vectorization, you'll learn how to streamline your code and achieve faster, more efficient model training.

7:35

Vectorization for Logistic Regression

Просмотров 621 день назад

The complex process of logistic regression is made easier to understand with guide. Vectorization is explained step-by-step, revealing how this powerful technique streamlines calculations and optimizes model performance.

8:23

Vectorization

Просмотров 1221 день назад

The performance difference between vectorization and loops in Python is explored. By showcasing practical examples, viewers will gain an understanding of how vectorization can dramatically improve the speed of their code.

Logistic Regression for Beginners easy way (gradient descent example)

14:52

Logistic Regression for Beginners easy way (gradient descent example)

Просмотров 1321 день назад

Get ready to master machine learning! In this video, we break down the basics of logistic regression in a way that's easy to understand, even if you have no prior experience. Learn how to predict outcomes using this powerful algorithm.

Optimization Techniques Explained | Back Propagation Simplified

28:22

Optimization Techniques Explained | Back Propagation Simplified

Просмотров 2121 день назад

In this video, we'll break down the concept of optimization techniques using a simple example. We'll explore how chain rule and partial derivatives work together to find the maximum or minimum of a function. Then, we'll introduce back propagation, an algorithm used in machine learning to train artificial neural networks. By the end of this video, you'll understand the basics of optimization tec...