Basic Image Classification with TensorFlow
Create, train and evaluate a neural network in TensorFlow
Understand the basics of neural networks
Solve classification problems with neural networks
In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Skills you will develop
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Encode the labels
Understand neural networks
Preprocess image examples
Create a neural network model
Train the model to fit the dataset
Evaluate the model
Visualize the predictions
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
Reviews
TOP REVIEWS FROM BASIC IMAGE CLASSIFICATION WITH TENSORFLOW
Perfect for beginners to understand basics of Neural Networks for Image classification. Instructor made sure that all the details of classes used are detailed with necessary demonstrations
Just like the title of this course, it's completely basic. A little bit of more theory could have been explained but that was not a problem for my case. Well explained project. Liked it.
A very simple, smart and effective course on Image Classification with Tensorflow. The Instrucor for this course was outstanding. This course will help me a lot in future.
Really nice project, But instructions are not properly because u not said how to install jupyter notebook and tensorflow.This are the basic instructions.\n\nThank u...
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