In this Tensorflow tutorial Tamil, I explained indexing and slicing in 1D and 2D tensors in a simple step-by-step way. Understanding indexing is very important because without it you cannot properly access or manipulate your data inside tensors.
🔥If you want to master Tensorflow step by step in Tamil, check out my complete Tensorflow playlist. start from Episode 1 and grow your skills like a pro! : • Tensorflow Tutorial for beginners in Tamil...
🔥If you want to master Numpy step by step in Tamil, check out my complete Numpy playlist. start from Episode 1 and grow your skills like a pro! : • Complete Numpy Tutorial in Tamil | Numpy T...
🔥If you want to master Pandas step by step in Tamil, check out my complete Pandas playlist. start from Episode 1 and grow your skills like a pro! : • Pandas Full Course Python | Python Pandas ...
✍In this video, you will learn:
00:00 Introduction
00:29 Create 1D Tensor for Indexing
03:39 Slicing in 1D Tensor
06:40 Create 2D Tensor for Indexing
08:42 Indexing in 2D Tensor
13:11 Slicing in 2D Tensor
15:43 Examples: 2D Tensor Indexing & Slicing
20:38 Next Video
👉What is indexing in a 1D tensor (how to access single elements).
👉How to use negative indexing to access elements from the end.
👉What is slicing in a 1D tensor (extracting a range of values).
👉How to use step values in slicing (e.g., skipping elements).
👉Indexing in 2D tensors (rows & columns selection).
👉How to extract entire rows, specific columns, and sub-matrices.
👉The difference between 1D vs 2D indexing.
👉Similarities between TensorFlow slicing vs Python lists & Numpy arrays.
✍By the end of this tutorial, you will clearly understand how to access, slice, and reshape data in Tensorflow tensors, which is a must-have skill for machine learning and deep learning projects.
🔥 This tutorial is beginner-friendly and explained in Tamil for easy understanding.
#Tensorflow #Tamil #DeepLearning #MachineLearning #DataScience
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