Introduction to TensorFlow | A Beginner’s Guide to Deep Learning Framework

Описание: In this video, you’ll learn the fundamentals of TensorFlow, one of the most popular deep learning frameworks used by Data Scientists, Machine Learning Engineers, and AI professionals.

This lesson introduces TensorFlow from scratch, explaining its purpose, core concepts, and how it is used to build and train deep learning models. If you’re new to deep learning or transitioning into machine learning, this video will give you a solid foundation.

🔹 What you’ll learn in this video:

What TensorFlow is and why it is used

Key components of the TensorFlow framework

How TensorFlow supports deep learning workflows

Common use cases in machine learning and AI

Who should learn TensorFlow and when to use it

This tutorial is designed for beginners, students, and professionals preparing for careers in Data Science, Machine Learning, and AI. No prior deep learning experience is required.

📌 Tools & Technologies: TensorFlow, Python

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00:00:00 Introduction & Course Overview
00:03:45 What is TensorFlow?
00:09:20 Why TensorFlow is Important in Deep Learning
00:15:10 TensorFlow Ecosystem & Architecture
00:22:30 Installing TensorFlow (Environment Setup)
00:30:15 Understanding Tensors and Data Types
00:41:40 TensorFlow Core Components Explained
00:55:20 Computational Graphs & Execution Model
01:07:10 Building Blocks of Deep Learning in TensorFlow
01:20:35 Common TensorFlow Use Cases
01:32:50 Best Practices & Common Beginner Mistakes
01:40:10 Learning Path: What to Study Next
01:45:30 Summary & Final Thoughts