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Use a Tokenizer in TensorFlow
Pad and Truncate Sequences
Create and Train a Recurrent Neural Network
Use NLP and Deep Learning to perform Text Classification
Showcase this hands-on experience in an interview
In this 2-hour long guided project, we are going to create a recurrent neural network and train it on a tweet emotion dataset to learn to recognize emotions in tweets. The dataset has thousands of tweets each classified in one of 6 emotions. This is a multi class classification problem in the natural language processing domain. We will be using TensorFlow as our machine learning framework. You will need prior programming experience in Python. This is a practical, hands on guided project for learners who already have theoretical understanding of Neural Networks, recurrent neural networks, and optimization algorithms like gradient descent but want to understand how to use the Tensorflow to start performing natural language processing tasks like text classification. You should also have some basic familiarity with TensorFlow. 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.
Prior programming experience in Python, familiarity with TensorFlow, theoretical understanding of recurrent neural networks.
Natural Language Processing
Deep Learning
Machine Learning
Tensorflow
keras
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction
Setup and Imports
Importing Data
Tokenizer
Padding and Truncating Sequences
Preparing Labels
Creating and Training RNN Model
Model Evaluation
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
by KA
Aug 1, 2021It is a good project to get an overview. Generally, it is a nice project, and simple to follow,
by KR
May 29, 2022This project will make it easier for you to understand how TensorFlow works.volume_upcontent_copyshare
by GP
Aug 25, 2022please incorporate the deeper analysis for other domain like online learner
by TG
Jul 6, 2021One of the best course for knowledge up gradation. The Speakers explain very well.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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