
Thomas Bierhance: Polars – make the switch to lightning-fast dataframes
In this talk from PyData, get a report on our experiences switching from Pandas to Polars in a real-world ML project. Polars is a new high-performance dataframe library for Python based on Apache Arrow and written in Rust. We will compare the performance of polars with the popular pandas library, and show how polars can […]
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Python Decorators: A Comprehensive Guide
Socratica explains the purpose and function of decorators in Python. Python decorators are “syntactic sugar” that makes it easy to add new features to a function or class without changing its code. To understand decorators, and to write your own, you’ll learn how in Python, functions are “first class citizens” and how functions can be […]
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Exploring Diffusion Models: AI Art Taking the World by Storm
- Frank
- May 2, 2023
- activation function
- AI
- ai art
- artificial intelligence
- artificial neural network
- Autoencoders
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- diffusion models
- Education
- fine-tune
- generative models
- GPU
- image classification
- Image2Image
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- stable diffusion
- Supervised Learning
- TensorFlow
- text encoder
- train
- Training
- Transfer Learning
- u-net
This video is from deeplizard covers the emerging world of AI generated art. This is a preview lesson from the deeplizard course, AI Art For Beginners – Stable Diffusion Crash Course! This course is a hands-on AI project-based course where we’ll be learning-by-doing via hands-on activities, implementing examples, and an end of course project. Our […]
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Ray Dalio’s Principles for Success: Learn in 30 Minutes
This video is from Principles by Ray Dalio. Join me on a thought-provoking adventure in my new animated mini-series, Principles for Success. I’ve taken my book Principles, and distilled it into a 30 minute ultra mini series that focuses on the life principles that have helped me the most.
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Discovering Inspirational Insights in Motivational Sports Speeches Using Data Science
PyData presents this talk on Discovering Inspirational Insights in Motivational Sports Speeches Using Data Science. nspirational sports speeches have motivated and reinvigorated folks for years. Whether you’re a developer or an athlete, they’ve withstood the journey because even the smartest, the bravest, and the most resilient need some encouragement on occasion. During our time together, […]
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Did ChatGPT Just Killed Traditional Language Learning
- Frank
- January 16, 2023
- AI
- artificial intelligence
- chat bot
- Chatbot
- chatbot technology
- chatGPT
- chatgpt spanish
- chatgpt tutorial
- Education
- fluent in spanish
- future of language education
- future of language learning
- gpt
- gpt 3
- gpt-3
- language acquisition
- language education
- language fluency
- language immersion
- language learning
- language skills
- language teaching
- language tutor
- learn spanish
- Machine Learning
- Natural Language Processing
- OpenAI
- Spanish
- spanish lessons
Jerry Registre shows us how ChatGPT just changed language learning forever.
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How Boston University elevates learning with Red Hat OpenShift
In this video is from OpenShift, Jonathan Appavoo, Associate Professor at Boston University, explains how he built an innovative, containerized lecture/lab education environment to teach the basics of computer science using Red Hat OpenShift Service on AWS and Red Hat OpenShift Data Science. Jonathan uses this containerized cloud services platform on AWS to provide a scalable, […]
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Activation Functions – Deep Learning Dictionary
- Frank
- December 28, 2022
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- Clustering
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
What are activation functions within artificial neural networks? Mandy from deeplizard explains.
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