Learn TensorFlow in an Hour

Learn TensorFlow in an Hour, available at $19.99, with 14 lectures, and has 1 subscribers.

You will learn about Understand Tensors and Tensorflow Learn how to generate Tensors Learn basic operations using Tensorflow Build a Handwriting recognition deep learning model using Tensorflow This course is ideal for individuals who are Beginner python developers with basic understanding of machine learning looking to understand how to work with Tensorflow. It is particularly useful for Beginner python developers with basic understanding of machine learning looking to understand how to work with Tensorflow.

Enroll now: Learn TensorFlow in an Hour

Summary

Title: Learn TensorFlow in an Hour

Price: $19.99

Number of Lectures: 14

Number of Published Lectures: 14

Number of Curriculum Items: 14

Number of Published Curriculum Objects: 14

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Understand Tensors and Tensorflow

Learn how to generate Tensors

Learn basic operations using Tensorflow

Build a Handwriting recognition deep learning model using Tensorflow

Who Should Attend

Beginner python developers with basic understanding of machine learning looking to understand how to work with Tensorflow.

Target Audiences

Beginner python developers with basic understanding of machine learning looking to understand how to work with Tensorflow.

If you’re interested in building and training machine learning models, TensorFlow is a powerful program that can help you do that. This course offers an introduction to TensorFlow and provides instruction on how to use it to build deep-learning AI models. One of the benefits of TensorFlow is its flexibility and ability to work with datasets of all sizes.

Throughout the course, you’ll learn about Tensors and Tensorflow in detail and discover how to work with them. Additionally, you’ll gain a solid understanding of how to use TensorFlow to create models for different types of datasets. This includes working with GPUs and TPUs, which are specialized computer chips. These chips helps expand the capabilities of TensorFlow and improve its efficiency, particularly when working with large datasets.

Finally, we will build a computer vision project where you’ll have the opportunity to create a simple TensorFlow model that can recognize handwritten images. By the end of this course, you’ll have a firm grasp of what TensorFlow is, how it works, and how to use it to develop machine learning models. So, if you’re ready to dive into the world of deep learning and explore what TensorFlow has to offer, let’s get started!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Start here!

Lecture 2: Welcome to the course

Lecture 3: Tensors and Tensorflow

Chapter 2: Tensorflow Basics

Lecture 1: Working with Tensorflow

Lecture 2: Generating and Loading Tensors

Lecture 3: Basic Operations using Tensorflow

Lecture 4: One-hot Encoding

Lecture 5: Working with GPUs and TPUs

Chapter 3: Building and Training the Model

Lecture 1: Preparing the Model

Lecture 2: Optimizer and Loss Function

Lecture 3: Compiling and Training the Model

Lecture 4: Predicting Handwritten Digits

Chapter 4: Conclusion

Lecture 1: Conclusion

Lecture 2: Final Notes

Instructors

Manish Shivanandhan
Engineer | Forex Trader | Blogger

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Frequently Asked Questions

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