Master Deep Learning with TensorFlow in Python | Chapter 1: Introduction to Neural Networks

Video Description:
🚀 Welcome to "Master Deep Learning with TensorFlow in Python"! In this first chapter, we introduce you to Neural Networks, the foundation of Deep Learning. Whether you're a beginner or looking to strengthen your understanding, this video will provide a clear, step-by-step explanation of key concepts.

🔹 What You’ll Learn in This Video:
✅ What are Neural Networks?
✅ Biological vs. Artificial Neurons
✅ Understanding Perceptrons and Multi-Layer Networks
✅ Activation Functions (Sigmoid, ReLU, Tanh, Softmax)
✅ How Neural Networks Learn: Forward and Backpropagation
✅ Introduction to TensorFlow & Keras for Deep Learning
✅ Writing Your First Neural Network in Python

🛠️ Technologies Used:
Python 🐍
TensorFlow & Keras
NumPy & Pandas
Matplotlib & Seaborn for Data Visualization
📌 Resources:
🔗 Code & Notebook: [GitHub Repository Link]
🔗 Deep Learning Course Playlist: [Playlist Link]

🎯 Who is this video for?
Beginners in AI & Deep Learning
Data Science & Machine Learning Enthusiasts
Developers looking to build Neural Networks
🔥 Don’t forget to Like, Share, and Subscribe! Stay tuned for Chapter 2, where we’ll dive into Training Deep Neural Networks with TensorFlow!

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