Tensorflow Tutorial for beginners in Tamil | Ai in Tamil Tutorial

In this TensorFlow Tutorial for Beginners in Tamil (Episode 3), I explain how to create different types of tensors such as Scalars, Vectors, Matrices, and Higher-Dimensional Tensors using the tf.constant() function.

⚡Before Watch Above Episode, Please Watch First Two Episodes here:    • Tensorflow Tutorial for beginners in Tamil...  

📌First, we start with the basics of what a tensor is and why it’s the building block of deep learning.
🔹 Then, we explore how to create:

👉Scalar (0-D Tensor) – a single value

👉Vector (1-D Tensor) – a list of numbers

👉Matrix (2-D Tensor) – a grid of numbers

👉Higher-Dimensional Tensor (3-D & above) – a stack of matrices (like a book with pages)

🔹 Finally, you’ll see how these concepts connect with linear algebra and how they form the foundation for Neural Networks.

👉 This tutorial is completely beginner-friendly and explained step by step in தமிழ் (Tamil), so even if you are new to AI, Machine Learning, or Deep Learning, you will understand it easily.

🎯 By the end of this video, you’ll clearly understand:

✍What tensors are

✍How to create them in TensorFlow

✍Difference between Scalar, Vector, Matrix & Higher-Dimensional Tensors

✍Why tensors are so important in Deep Learning

00:00 Introduction to Tensors
01:32 Creating Scalar using Tensorflow
03:35 Creating Vector using Tensorflow
05:44 Creating Matrix using Tensorflow
07:33 Changing Tensor Data Type
09:30 Creating Higher Dimension Matrix
14:28 Next Video

🔥If you find this useful, don’t forget to Like, Share, and Subscribe to my channel for more videos in this Data Science & AI in Tamil series. 🚀
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