Convergence between CV and NLP Modeling and Learning
Han Hu and Li Dong from Microsoft Research Asia talk about the convergence between computer vision, natural language processing, and machine learning in the following talk.
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[ML News] New ImageNet SOTA | Uber’s H3 hexagonal coordinate system | New text-image-pair dataset
Yannic provides the latest news in machine learning in this video. Time Stamps: 0:00 – Intro 0:20 – TruthfulQA benchmark shines new light on GPT-3 2:00 – LAION-400M image-text-pair dataset 4:10 – GoogleAI’s EfficientNetV2 and CoAtNet 6:15 – Uber’s H3: A hexagonal coordinate system 7:40 – AWS NeurIPS 2021 DeepRacer Challenge 8:15 – Helpful Libraries […]
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Ramping up your custom NLP tasks with Verseagility
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Frank
- September 18, 2021
- AI Show
- ai show live
- ARM Templates
- AutoML
- Azure
- Azure CLI
- Azure ML
- Cognitive Services
- Config file
- CSV
- Data Science
- Docker
- farm
- Flair
- Gensim
- GitHub
- huggingface transformers
- JSON
- Machine Learning
- Microsoft
- Microsoft Developer
- Natural Language Processing
- NLP
- Python
- SpaCy
- Verseagility
- VS Code
On this episode of the AI Show, Timm Walz joins Seth to talk about how ramping up your custom NLP tasks with Verseagility will benefit your data science workflow. He’ll demonstrate how to use the toolkit in combination with Azure Machine Learning.
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Tightly Connecting Vision and Language
Remarkable progress has been made at the intersection of vision and language. While showing great promise, current vision and language models may only weakly “connect” the two modalities and often fail in the wild. In this talk, Goggle’s Soravit Changpinyo will present recent efforts aiming to bridge this gap along two dimensions: informativeness and controllability. […]
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OpenAI Codex: Just Say What You Want! 🤖
Two Minutes Papers examines the paper “Evaluating Large Language Models Trained on Code” in the following video.
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Text Classification Using BERT & Tensorflow
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Frank
- August 29, 2021
- bert model
- bert model nlp python
- BERT text classification
- BERT tutorial
- deep learning tutorial
- deep learning tutorial for beginners
- kera tutorial
- neural network python tutorial
- python deep learning example
- python deep learning tensorflow
- python deep learning tutorial
- tensorflow 2.0 tutorial python
- tensorflow bert
- tensorflow bert tutorial
- tensorflow tutorial
- tensorflow tutorial for beginners
Using BERT and Tensorflow 2.0, we will write simple code to classify emails as spam or not spam. BERT will be used to generate sentence encoding for all emails and after that we will use a simple neural network with one drop out layer and one output layer.
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What is NLP (Natural Language Processing)?
In this lightboard video, Master Inventor with IBM, Martin Keen, visually explains what NLP is and why we need it, as well as how NLP takes unstructured human speech and converts it to structured data that a computer can understand. Every time you surf the internet you encounter a Natural Language Processing, or NLP, application. […]
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Enhancing your Azure Health Bot
Join Adam Walker, Shreyan Fernandes and Meghana Chikkam live on Learn TV in the third of this four-part series on Azure Health Bot. The third week covers the Learn modules Enhanced Azure Health Bot, Integrate Azure Health Bot with a database and Channelized Azure Health Bot. In this episode, you will: – Learn about interrupting […]
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Jeeves Grows Up: An AI Chatbot for Performance and Quality
Jeeves is a chatbot created to simplify data operations management for enterprise Spark clusters. Powered by advanced AI algorithms and an intuitive conversational interface answers to get users in and out of problems quickly. Instead of being stuck to screens displaying logs and metrics, users can now have a more refreshing experience via a two-way […]
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Data Science with OpenAI Codex
This video has no audio, but it will leave you speechless as OpenAI Codex converts natural language into code. Data Science may never be the same. No tags,
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