Tweet Emotion Recognition with TensorFlow
131 個評分

8,273 人已註冊
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
在面試中展現此實踐經驗
131 個評分
8,273 人已註冊
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
在面試中展現此實踐經驗
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
在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:
Introduction
Setup and Imports
Importing Data
Tokenizer
Padding and Truncating Sequences
Preparing Labels
Creating and Training RNN Model
Model Evaluation
您的工作空間就是瀏覽器中的雲桌面,無需下載
在分屏視頻中,您的授課教師會為您提供分步指導
由 TG 提供
2021年7月6日One of the best course for knowledge up gradation. The Speakers explain very well.
由 KR 提供
2022年5月29日This project will make it easier for you to understand how TensorFlow works.volume_upcontent_copyshare
由 GP 提供
2022年8月25日please incorporate the deeper analysis for other domain like online learner
由 KA 提供
2021年8月1日It is a good project to get an overview. Generally, it is a nice project, and simple to follow,
由於您的工作空間包含適合筆記本電腦或台式計算機使用的雲桌面,因此指導項目不在移動設備上提供。
指導項目授課教師是特定領域的專家,他們在項目的技能、工具或領域方面經驗豐富,並且熱衷於分享自己的知識以影響全球數百萬的學生。
您可以從指導項目中下載並保留您創建的任何文件。為此,您可以在訪問云桌面時使用‘文件瀏覽器’功能。
您可在頁面頂部點按此指導項目的經驗級別,查看任何知識先決條件。對於指導項目的每個級別,您的授課教師會逐步為您提供指導。
是,您可以在瀏覽器的雲桌面中獲得完成指導項目所需的一切。
您可以直接在瀏覽器中於分屏環境下完成任務,以此從做中學。在屏幕的左側,您將在工作空間中完成任務。在屏幕的右側,您將看到有授課教師逐步指導您完成項目。
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