Text Classification using CNN with TensorFlow 2.1 in Python скачать в хорошем качестве

Text Classification using CNN with TensorFlow 2.1 in Python

Text Classification using Convolutional Neural Network with TensorFlow 2.1 in Python | Natural Language Processing Tutorial | #NLproc In this video I will demonstrate how we can implement text classification using Convolutional Neural Network with TensorFlow 2.1 in python. I am specifically training a simple convolutional neural network based text classification model to classify sentiment of tweets . I will be using the tensorflow gpu version The dataset is from the Tweet Sentiment Extraction challenge from Kaggle(https://www.kaggle.com/c/tweet-sentim...) We would implement text classification using a simple neural network developed using Tensorflow on tweet data to classify tweets as "positive", "negative" or "neutral" The code is present here: https://github.com/rsreetech/TextClas... If you are new here and like such content please subscribe to the channel here: https://www.youtube.com/c/RitheshSree... If you like to support me financially, It is totally optional and voluntary. Buy me a coffee here: https://www.buymeacoffee.com/rithesh Chapters/Timestamps : 00:00 Text Classification using Convolutional Neural Network with TensorFlow 2.1 in Python 01:06 Dataset description 03:00 Pre-processing methods 04:56 Converting training, testing data to TensorFlow training format 12:30 Creating Convolutional Neural Network with TensorFlow 2.1 22:04 Training Convolutional Neural Network 25:21 Saving Convolutional Neural Network Model and Tokenizer 26:09 Re-loading Convolutional Neural Network Model and Tokenizer and testing on test data