Learn Tensorflow In An Hour

Build a Handwriting Recognition deep neural network using Computer Vision

What you'll learn

Understand Tensors and Tensorflow

Learn how to generate Tensors

Learn basic operations using Tensorflow

Build a Handwriting recognition deep learning model using Tensorflow

Requirements

Basic knowledge of how machine learning works. Resources will be provided in the introduction.

Description

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!

Overview

Section 1: Introduction

Lecture 1 Start here!

Lecture 2 Welcome to the course

Lecture 3 Tensors and Tensorflow

Section 2: Tensorflow Basics

Lecture 4 Working with Tensorflow

Lecture 5 Generating and Loading Tensors

Lecture 6 Basic Operations using Tensorflow

Lecture 7 One-hot Encoding

Lecture 8 Working with GPUs and TPUs

Section 3: Building and Training the Model

Lecture 9 Preparing the Model

Lecture 10 Optimizer and Loss Function

Lecture 11 Compiling and Training the Model

Lecture 12 Predicting Handwritten Digits

Section 4: Conclusion

Lecture 13 Conclusion

Lecture 14 Final Notes

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