📶 Deep Learning: Model Optimization and Tuning

🌐 Author: Kumaran Ponnambalam
🔰 Level: Advanced

⏰ Duration: 54m

🌀 Learn about various optimization and tuning options available for deep learning models and use them to improve models.

📗 Topics: Deep Learning, Machine Learning

📶 First Join Channel : https://t.me/+xIYRmZxpAog5YTdk

⭐️ Link Download: https://t.me/c/1943137813/861

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MIT OCW 6.100L Introduction to CS and Programming using Python (Fall 2022)

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#️⃣ Register for the Coursera Random Lottery 🌐

Python, Bash and SQL Essentials for Data Engineering Specialization

What you'll learn
Develop #dataengineering solutions with a minimal and essential subset of the Python language and the Linux environment

Design scripts to connect and query a #SQL #database using #Python

Use a #scraping library in Python to read, identify and extract data from websites

Enroll Free: https://www.coursera.org/specializations/python-bash-sql-data-engineering-duke

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🖥 Next Level Python: Become a Python Expert [EN]

What you will learn :

This course will help you deepen your knowledge of #Python by covering type annotations, advanced classes, functional #programming, concurrency, iterators, and generators. You will learn how to optimize your code and write more efficient programs through practical examples and exercises.

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🖥 Next Level Python: Become a Python Expert [EN]

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👩‍💻 Complete FastAPI Course in Python!

🔗 Link: https://www.youtube.com/playlist?list=PL8VzFQ8k4U1L5QpSapVEzoSfob-4CR8zM

⭐️ Tags: 
#PythonCheatSheet #PythonProgramming #DataScience #CodingTips #Python3 #LearnPython #ProgrammingGuide #PythonSyntax #CodeSnippets #DataStructures #OOP #Regex #ErrorHandling #PythonLibraries #CodingReference #PythonTricks #TechResources #DeveloperTools #PythonForBeginners #AdvancedPython

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🖥 25 VS Code Productivity Tips and Speed Hacks

Learn 25 VS Code tips and tricks that will help you write code faster. Try out awesome new features and extensions that turn your editor into a full-blown IDE.

🔗 Resources
VS Code https://code.visualstudio.com/
Remote Repositories https://code.visualstudio.com/blogs/2021/06/10/remote-repositories

📚 Chapters

00:00 Intro
00:35 1. VS Code CLI
01:03 2. Release the Mouse
01:45 3. Command Palette Ctrl+P
02:10 4. Run Commands
02:25 5. Quokka
02:43 6. Find Symbols with @
03:14 7. Find symbols with #
03:36 8. Move Around Quickly
04:07 9. Multiline Editing
04:23 10. Auto Rename Tag
04:47 11. Delete or move a line
05:16 12. Highlight & Comment Lines
05:39 13. JS Doc Extension
06:07 14. Better Comments
06:20 15. Integrated Terminal
07:14 16. Tasks
07:38 17. Git Source Control
08:26 18. Git Lens Extension
08:40 19. Remote Repositories
09:14 20. Remote SSH & Containers
09:31 21. Custom Snippets
10:01 22. Community Snippets
10:13 23. Auto-create directories
10:29 24. Paste as JSON
10:50 25. Rename Symbol

⭐️ Tags: 
#PythonCheatSheet #PythonProgramming #DataScience #CodingTips #Python3 #LearnPython #ProgrammingGuide #PythonSyntax #CodeSnippets #DataStructures #OOP #Regex #ErrorHandling #PythonLibraries #CodingReference #PythonTricks #TechResources #DeveloperTools #PythonForBeginners #AdvancedPython

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This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣  Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

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Python Guided Project Building Tic-Tac-Toe from Scratch [EN]

🎓 What will you learn?

This #course is designed for beginners who want to learn #Python by creating a Tic Tac Toe game.

You will learn how to program game logic using random numbers, without the need for user input.

This is a practical introduction to #IT and programming with an emphasis on developing skills that are in demand in the industry.

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Python Guided Project Building Tic-Tac-Toe from Scratch [EN]

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More likes = more courses 😜

🔥 MIT has updated its famous course 6.S191: Introduction to Deep Learning.

The program covers topics of #NLP, #CV, #LLM and the use of technology in medicine, offering a full cycle of training - from theory to practical classes using current versions of libraries.

The course is designed even for beginners: if you know how to take derivatives and multiply matrices, everything else will be explained in the process.

The lectures are released for free on YouTube and the #MIT platform on Mondays, with the first one already available

.

All slides, #code and additional materials can be found at the link provided.

📌 Fresh lecture : https://youtu.be/alfdI7S6wCY?si=6682DD2LlFwmghew

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming  #Keras

https://t.me/CodeProgrammer ✅

🔅 Python Quick Start

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📈 Introduction to Qdrant (Vector Database) Using Python [EN]

🎓 What will you learn?

In this #course, you will gain practical skills in working with Qdrant through its Python interface.

You will learn how to store, search, and manage vectors and their data.

The course includes examples, #Python notebooks, tests and explains the basic concepts of #Qdrant.

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