How to learn TensorFlow step by step?

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Accepted Answer

To learn TensorFlow step by step, you can follow these guidelines:

Understand the basics: Familiarize yourself with machine learning concepts and the fundamentals of neural networks, as TensorFlow is primarily used for deep learning tasks.
Python proficiency: TensorFlow is implemented in Python, so having a good understanding of Python programming is essential. If you're new to Python, start by learning the basics of the language.
Install TensorFlow: Set up TensorFlow on your machine by following the official installation guide provided by TensorFlow. You can choose between TensorFlow CPU or GPU versions based on your hardware.
TensorFlow documentation and tutorials: Explore the official TensorFlow documentation, which provides comprehensive resources, including tutorials, guides, and API references. Start with the beginner tutorials to gain hands-on experience.

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TensorFlow Introduction

Computer Science

Simplilearn

How to Get The Certificate

Lesson 01 Introduction to TensorFlow Simplilearn

Lesson 2 What is Tenserflow Simplilearn

Lesson 3 What Is Data Flowgraph Simplilearn

Lesson 04 Program Elements In TensorFlow Simplilearn

Lesson 05 TensorFlow Program Basics Simplilearn

Lesson 6 Usecase Implementation Using Tenserflow Simplilearn

Lesson 07 Tensorflow 1 0 vs 2 0 Simplilearn

Lesson 08 TensorFlow Toolkit Hierarchy Simplilearn

Lesson 9 TensorFlow 2 0 Demo Simplilearn

Lesson 10 Recurrent Neural Networks Simplilearn

Lesson 11 Demo Simplilearn

Lesson 12 Libraries Required Simplilearn

Lesson 13 Usecase Implementation Using TensorFlow Simplilearn

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