In this comprehensive tutorial, I’ll teach you Deep Learning fundamentals, Neural Network architecture, and how to build production-ready Deep Learning models using TensorFlow โ perfect for beginners and intermediate learners!
๐ฏ What You’ll Learn:
โ
Deep Learning basics and how neural networks work
โ
Understanding layers, neurons, activation functions & backpropagation
โ
Building your first neural network from scratch
โ
TensorFlow & Keras implementation step-by-step
โ
Training, testing, and optimizing deep learning models
โ
Real-world project walkthrough with code
โ
Common mistakes to avoid in DL model building
๐ ๏ธ Tools & Frameworks Covered:
โข TensorFlow 2.x
โข Keras API
โข Python for Deep Learning
โข Google Colab setup
โข Model optimization techniques
๐ Perfect for:
โข Deep Learning beginners
โข Data Science students
โข AI/ML engineers
โข Python developers entering AI
โข Anyone building neural network projects
๐ก By the end of this video, you’ll be able to build, train, and deploy your own deep learning models confidently!
1:1 Mentorship: https://topmate.io/thirumurugan_r/
Join GEN AI Architect Community Now: https://my-url.in/youtube_architects_show_interest
Instagram: https://www.instagram.com/ai_with_thiru?igsh=MWkzeWdsOXU4c3o0Ng==
๐ฌ Questions about neural networks or TensorFlow?
Drop them in the comments โ I reply to everyone!
๐ Like, Comment & Subscribe for more Deep Learning tutorials, AI projects, and hands-on coding sessions.
โฑ๏ธ Timestamps:
00:00 – Introduction
00:45 – What is Deep Learning?
03:20 – Neural Network Architecture Explained
08:15 – Setting up TensorFlow Environment
12:30 – Building Your First Model
18:45 – Training & Evaluation
24:10 – Model Optimization Tips
28:00 – Recap & Next Steps
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