🔅 Deep Learning: Image Recognition

📝 Learn how to design, build, and deploy a deep neural network to serve as an image recognition system.

🌐 Author: Isil Berkun
🔰 Level: Intermediate
⏰ Duration: 2h 14m

📋 Topics: Image Recognition, Deep Learning, Computer Vision

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📱Deep Learning: Image Recognition

Introducing Vanna: An Open-Source Text-to-SQL Tool | Daily Dose of Data Science posted on the topic | LinkedIn
Finally! A Text-to-SQL tool that actually works!

(100% open-source, 20k+ stars)

Vanna is an open-source RAG framework for complex Text-to-SQL generation, designed for handling dynamic datasets.

Works in 2 easy steps:

1️⃣ Train a RAG “model” on your data.
2️⃣ Ask questions in natural language which will return SQL queries that can be set up to automatically run on your database.

Key features:

🎯 High accuracy on complex datasets
🤖 Self-learning: improves with each query
🔒 Secure: data never leaves your environment
🌐 Connect to any SQL DB (Snowflake, Redshift, etc.)
🧩 Multiple front-end integrations (Jupyter, Slack, etc.)

🌐 Vanna GitHub: https://github.com/vanna-ai/vanna

🔅 Deep Learning with Python: Convolutional Neural Networks

📝 Gain hands-on experience building, training, and evaluating convolutional neural networks (CNNs) using Python for image classification, object detection, and segmentation.

🌐 Author: Frederick Nwanganga
🔰 Level: Intermediate
⏰ Duration: 1h 34m

📋 Topics: Convolutional Neural Networks, Deep Learning, Python

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