- Популярные видео
- Авто
- Видео-блоги
- ДТП, аварии
- Для маленьких
- Еда, напитки
- Животные
- Закон и право
- Знаменитости
- Игры
- Искусство
- Комедии
- Красота, мода
- Кулинария, рецепты
- Люди
- Мото
- Музыка
- Мультфильмы
- Наука, технологии
- Новости
- Образование
- Политика
- Праздники
- Приколы
- Природа
- Происшествия
- Путешествия
- Развлечения
- Ржач
- Семья
- Сериалы
- Спорт
- Стиль жизни
- ТВ передачи
- Танцы
- Технологии
- Товары
- Ужасы
- Фильмы
- Шоу-бизнес
- Юмор
Implementing Recurrent Neural Networks for Text Classification in TensorFlow
Course link:https://aicourse.thinkific.com/courses/recurrent-neural-network-explained-for-beginners
In this video, we explore how to implement Recurrent Neural Networks (RNNs) for text classification using TensorFlow. The tutorial focuses on understanding the key components like feature vectors or embeddings, which are essential for processing text data in neural networks. We dive into the different types of RNN layers, including LSTM, GRU, and simple RNN, and explain their significance in handling sequential data. Using a practical example of movie review sentiment analysis, we demonstrate how to encode text into feature vectors (both through one-hot encoding and word embeddings), build a simple RNN model, and train it on the IMDB dataset for sentiment classification. While the main goal is to teach the process of working with RNNs in TensorFlow, rather than focusing on model accuracy, you'll gain the necessary knowledge to implement and experiment with RNNs for your own text classification tasks. This video is a great starting point for anyone looking to get hands-on experience with TensorFlow and recurrent neural networks.
✅ Stay Connected to Us.
👉 Twitter: https://twitter.com/AISciencesLearn
👉 Facebook: https://www.facebook.com/AISciencesLearn
👉 LinkedIn: http://www.linkedin.com/company/ai-sciences
👉 Website: http://www.aisciences.io
✅ For Business Inquires: contact@aisciences.io
=============================
✅ Important Python Projects:
👉 Get a look at our course on data science and AI here:
https://bit.ly/3thtoUJ
👉 The Python Codes are available at this link:
https://www.aisciences.academy/ytube-cfd
✅ Recommended Playlists:
👉 Artificial Intelligence
https://www.youtube.com/playlist?list=PLVgEzPHodXi0tO_iLwoZcEXiFPekTZlyj
👉 Machine Learning
https://www.youtube.com/playlist?list=PLVgEzPHodXi01AWPo06GOsM-ba_e1PJ1l
✅ Other Videos You Might Be Interested In Watching:
👉 Simplest Password Cracker Using Python | Tips and Tricks | Most Easy https://www.youtube.com/watch?v=EmwmbahsM_E
👉 Build Facebook's Wav2Vec2 Model For Speech To Text Application | Easy Python Tutorial
https://www.youtube.com/watch?v=t_qDAqUfqhY
👉 Fake Currency Detection Using Logistic Regression Model | Python | Tutorial For Beginners
https://www.youtube.com/watch?v=dJO69JzldmQ
👉 Question Answering Bot | AI Based | with Hugging Face Transformers | Python
https://www.youtube.com/watch?v=s4rV6Wyp23A
=============================
✅ About AI Sciences.
AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere.
We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars.
We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience.
🔔 Subscribe To our Channel For More Content of Data Science, Machine Learning, and AI: https://www.youtube.com/@AISciencesLearn
=================================
#predictionofsocialmediafollowers #socialmediafollowersbymachinelearning #socialmediamarketing #socialmediamarketingforbeginners
Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research.
Copyright Notice: This video and my YouTube channel contain dialog, music, and images that are the property of AI Sciences. You are authorized to share the video link and channel and embed this video in your website or others as long as a link back to my Youtube Channel is provided.
© AI Sciences
Видео Implementing Recurrent Neural Networks for Text Classification in TensorFlow канала AI Sciences
In this video, we explore how to implement Recurrent Neural Networks (RNNs) for text classification using TensorFlow. The tutorial focuses on understanding the key components like feature vectors or embeddings, which are essential for processing text data in neural networks. We dive into the different types of RNN layers, including LSTM, GRU, and simple RNN, and explain their significance in handling sequential data. Using a practical example of movie review sentiment analysis, we demonstrate how to encode text into feature vectors (both through one-hot encoding and word embeddings), build a simple RNN model, and train it on the IMDB dataset for sentiment classification. While the main goal is to teach the process of working with RNNs in TensorFlow, rather than focusing on model accuracy, you'll gain the necessary knowledge to implement and experiment with RNNs for your own text classification tasks. This video is a great starting point for anyone looking to get hands-on experience with TensorFlow and recurrent neural networks.
✅ Stay Connected to Us.
👉 Twitter: https://twitter.com/AISciencesLearn
👉 Facebook: https://www.facebook.com/AISciencesLearn
👉 LinkedIn: http://www.linkedin.com/company/ai-sciences
👉 Website: http://www.aisciences.io
✅ For Business Inquires: contact@aisciences.io
=============================
✅ Important Python Projects:
👉 Get a look at our course on data science and AI here:
https://bit.ly/3thtoUJ
👉 The Python Codes are available at this link:
https://www.aisciences.academy/ytube-cfd
✅ Recommended Playlists:
👉 Artificial Intelligence
https://www.youtube.com/playlist?list=PLVgEzPHodXi0tO_iLwoZcEXiFPekTZlyj
👉 Machine Learning
https://www.youtube.com/playlist?list=PLVgEzPHodXi01AWPo06GOsM-ba_e1PJ1l
✅ Other Videos You Might Be Interested In Watching:
👉 Simplest Password Cracker Using Python | Tips and Tricks | Most Easy https://www.youtube.com/watch?v=EmwmbahsM_E
👉 Build Facebook's Wav2Vec2 Model For Speech To Text Application | Easy Python Tutorial
https://www.youtube.com/watch?v=t_qDAqUfqhY
👉 Fake Currency Detection Using Logistic Regression Model | Python | Tutorial For Beginners
https://www.youtube.com/watch?v=dJO69JzldmQ
👉 Question Answering Bot | AI Based | with Hugging Face Transformers | Python
https://www.youtube.com/watch?v=s4rV6Wyp23A
=============================
✅ About AI Sciences.
AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere.
We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars.
We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience.
🔔 Subscribe To our Channel For More Content of Data Science, Machine Learning, and AI: https://www.youtube.com/@AISciencesLearn
=================================
#predictionofsocialmediafollowers #socialmediafollowersbymachinelearning #socialmediamarketing #socialmediamarketingforbeginners
Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research.
Copyright Notice: This video and my YouTube channel contain dialog, music, and images that are the property of AI Sciences. You are authorized to share the video link and channel and embed this video in your website or others as long as a link back to my Youtube Channel is provided.
© AI Sciences
Видео Implementing Recurrent Neural Networks for Text Classification in TensorFlow канала AI Sciences
ecurrent Neural Networks RNN in TensorFlow TensorFlow Tutorial Text Classification Sentiment Analysis LSTM GRU Recurrent Neural Network Tutorial TensorFlow for Beginners Machine Learning Deep Learning IMDB Dataset Movie Review Classification Text Processing with TensorFlow Word Embeddings Natural Language Processing Neural Networks in TensorFlow Keras Tutorial RNN Tutorial Building RNNs in TensorFlow TensorFlow 2.0 Recurrent Layer in TensorFlow
Комментарии отсутствуют
Информация о видео
16 июня 2025 г. 19:03:36
00:26:05
Другие видео канала