Artificial Intelligence
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GitHub Copilot: Will AI Replace Programmers
In this video I review github copilot and tell you all my opinions on it. To make it clear, I am not saying that programmer’s are not going to be replaced by AI in the future, I am just saying that we are not there yet and Github Copilot is not it.
#github #copilot #ai #artificial-intelligence #developer
1627094358
How to Build Forecasting Models with Vertex AI
Wouldn’t it be neat to predict the future? In this episode of AI Simplified, we’ll learn about forecasting models, what they are, the types of forecasting datasets, the algorithms used for forecasting, and how to train forecasting models in Vertex AI.
Chapters:
- 0:00 - Intro
- 0:53 - Univariate vs Multivariate
- 2:22 - Forecasting Algorithms
- 3:18 - Why Deep Learning Methods for forecasting?
- 3:50 - How does Vertex Forecast work?
- 4:56 - Vertex Forecast Demo
- 10:07 - Summary
#ai #artificial-intelligence #developer
1627090600
AI Engineering Full Course | Artificial Intelligence Full Course
This Artificial Intelligence Engineer course will help us understand the basics of artificial intelligence and the different algorithms used to build AI models. This Artificial Intelligence course will be a great kickstart for all the aspiring AI Engineers.
Shirts and Gifts for Your Friends & Loved ☞ https://bit.ly/36PHvXY
#artificial-intelligence #ai #data-science #developer
1627084698
Should You Go to Grad School for Artificial Intelligence?
Should you go to graduate school for artificial intelligence? As a physics PhD I have some insights for you that you may not have heard elsewhere.
Graduate school is immensely rewarding, yet also incredibly difficult intellectually and emotionally. You’ll have to deal with solving novel and complex problems, as well as learning how to deal with sacrificing your social life.
Learn about how to choose your PhD committee as well as how to get things done in the face of immense pressure.
#artificial-intelligence #deep-learning #machine-learning
1627084486
Dueling Deep Q Learning with Tensorflow 2 & Keras
Dueling Deep Q Learning is easier than ever with Tensorflow 2 and Keras. In this tutorial for deep reinforcement learning beginners we’ll code up the dueling deep q network and agent from scratch, with no prior experience needed. We’ll train an agent to land a spacecraft on the surface of the moon, using the lunar lander environment from the OpenAI Gym.
The dueling network can be applied to both regular and double q learning, as it’s just a new network architecture. It doesn’t require any change to the q learning or double q learning algorithms. We simply have to change up our feed forward to accommodate the new value and advantage streams, and combine them in a way that makes sense.
#deep-learning #python #machine-learning #tensorflow #artificial-intelligence
1627084410
Everything You Need To Master Actor Critic Methods | Tensorflow 2 Tutorial
In this brief tutorial you’re going to learn the fundamentals of deep reinforcement learning, and the basic concepts behind actor critic methods. We’ll cover the Markov decision process, the agent’s policy, reward discounting and why it’s necessary, and the actor critic algorithm. We’ll implement an actor critic algorithm using Tensorflow 2 to handle the cart pole environment from the Open AI Gym.
Actor critic methods form the basis for more advanced algorithms such as deep deterministic policy gradients, soft actor critic, and twin delayed deep deterministic policy gradients, among others.
#deep-learning #python #machine-learning #artificial-intelligence #tensorflow
1627084342
Deep Deterministic Policy Gradients (DDPG) | Tensorflow 2 Tutorial
Deep Deterministic Policy Gradients (DDPG) is an actor critic algorithm designed for use in environments with continuous action spaces. This makes it great for fields like robotics, that rely on applying continuous voltages to electric motors. You’ll get a crash course with a quick lecture, followed by a live coding tutorial.
Despite being an actor critic method, DDPG makes use of a number of innovations from deep Q learning. We’re going to make use of a replay memory for training our agent, as well as target actor and target critic networks for learning stability. One key difference is that DDPG uses a soft update rule for the target network parameters, rather than a direct hard copy of the online networks.
In this tutorial we’re going to use Tensorflow 2 to implement a deep deterministic policy gradient agent in the pendulum environment from the Open AI gym.
#python #deep-learning #artificial-intelligence #tensorflow #machine-learning
1627084206
Soft Actor Critic (SAC) in Tensorflow2
The Soft Actor Critic Algorithm is a powerful tool for solving cutting edge deep reinforcement learning problems involving continuous action space environments. It’s a variation of the actor critic method that leverages a maximum entropy framework, double Q networks, and target value networks.
The entropy is modeled by scaling the reward factor, with an inverse relationship between the reward scale and the entropy of our agent. Larger reward scaling means more deterministic behavior, and a larger reward scale means more stochastic behavior.
We’re going to implement this algorithm using the tensorflow 2 framework, and test it out on the Inverted Pendulum environment found in the PyBullet package.
#deep-learning #machine-learning #artificial-intelligence #python #reinforcement-learning #data-science
1627079580
How to Integrate AI using JavaScript and TenserFlow.js
What is the session about?
For a lot of web developers, the idea of AI and machine learning is something you see in movies and not your websites. But that’s no longer the case. You can make websites do things no developer has ever done before, using the language you’re already familiar with - JavaScript. Join us as Gant Laborde shows us the ins-and-outs of TensorFlow.js, and how you can start adding it to your applications!
Who is it aimed at?
This is for anyone who wants to learn to add AI to their websites using Tenserflow.js
Why should you attend?
Meet Gant Laborde and learn how easy it is to integrate AI using JavaScript and Tenserflow.js
Shirts and Gifts for Your Friends & Loved ☞ https://bit.ly/36PHvXY
#javascript #tenserflow #artificial-intelligence #ai #web-development
1627027901
The Big Impact of Big Data on Businesses Today
The business impact companies are making with big data analytics is driving investment in digital transformation across the board.
Faced with multiple waves of disruption in a COVID-19 world, almost 92% of companies are reporting plans to spend the same or more on data/AI projects, according to a recent survey from NewVantage Partners.
Small wonder.
Data mature companies are citing business-critical benefits from using big data, including:
- Informed decision-making
- Cost reduction
- Better understanding of customers
- New product development
- Data monetization
Offensive drivers such as new competitive advantages, innovation, and transformation override defensive ones as change is becoming the only market constant nowadays.
Let’s explore what business benefits exactly companies are achieving with big data to edge out the competition.
#big-data #big-data-analytics #big-data-processing #big-data-trends #technology #artificial-intelligence #big-data-industry #good-company
1626992340
Object detection with Tensorflow model and OpenCV
Using a trained model to identify objects on static images and live video
In this article, I’m going to demonstrate how to use a trained model to detect objects in images and videos using two of the best libraries for this kind of problem. For the detection, we need a model capable of predicting multiple classes in an image and returning the location of those objects so that we can place boxes on the image.
The Model
We are going to use a model from the Tensorflow Hub library, which has multiple ready to deploy models trained in all kinds of datasets and to solve all kinds of problems. For our use, I filtered models trained for object detection tasks and models in the TFLite format. This format is usually used for IoT applications, for its small size and faster performance than bigger models. I choose this format because I intend to use this model on a Rasberry Pi on future projects.
The chosen model was the EfficientDet-Lite2 Object detection model. It was trained on the COCO17 dataset with 91 different labels and optimized for the TFLite application. This model returns:
- The box boundaries of the detection;
- The detection scores (probabilities of a given class);
- The detection classes;
- The number of detections.
#object-detection #artificial-intelligence #deep-learning #opencv #tensorflow
1626984840
OpenCV Face-Detection Explained With Project
Build Face Detection Project of Your Own
**Face detection **is a computer technology used in various applications that harden the face from digital images. Face-Detection used in various applications, such as Facial Recognition, Motion Detector, Emotion Interface, Photography, etc.
This article will see how Face Detection can be done using Python OpenCV directly via webcam or video file.
First of all, you need to install OpenCV and Numpy. We will do this tutorial using the completed Python programming language, so let’s get started.
Library Setup
We will use both mediapipe and OpenCV. Here are some more about these libraries.
#machine-learning #ai #python #artificial-intelligence #opencv
1626947520
How I‘m Replacing a Green Screen Background On a Video With OpenCV in 3 Simple Steps
A great project to do when learning computer vision is to do a Green Screen, and in fact is one of the first projects I give my students to work on, and by the way, I’m still waiting for some students to deliver this project.
This is the typical screen used when recording scenes, where the background is completely green, and because of that it can be post-processed later to change the background and place anything in there.
Of course, this can also be done in real-time, like for example when you see the weather report on TV, the maps you see are being rendered in real-time, and the person presenting the weather is just pointing to a green wall.
Big Data Jobs
Requirements
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Python 3
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OpenCV 4.5.2
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A green screen video. You can use this one:
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An image to replace the background. You can use this one:
Step one: Load the resources
Step two: Iterate frames and create a mask
Step Three: Apply the mask and combine images
#ai #computer-vision #videos #opencv #artificial-intelligence
1626939664
Artificial Intelligence (AI) Solutions and Service Providers |ThinkPalm
Artificial intelligence (AI) is the foundation for simulating human intelligence processes by developing and deploying algorithms in a dynamic computing environment. Simply defined, artificial intelligence (AI) aims to make computers think and act like humans.
Despite the fact that Artificial Intelligence (AI) has been established as an academic and scientific discipline since the 1950s, AI services has only recently achieved traction. It goes without saying that the current explosion in AI research, investment, and real-world applications is unprecedented.
Learn more about AI services!
#ai #aiservices #artificial-intelligence
1626918235
Você tem MEDO do GitHub Copilot?
No vídeo de hoje vamos falar sobre o projeto GitHub Copilot. Um dos seus objetivos é encontrar códigos mais assertivos dentre os repositórios públicos do site, para melhorar a produtividade do programador.
Mas você acha que essas IAs podem, um dia, nos substituir completamente? Ou elas serão só auxílios para que possamos otimizar nossa produção?
#github #copilot #ai #artificial-intelligence
