course
Deep Learning for Text with PyTorch
विकसितकौशल स्तर
अद्यतन 01/2026कोर्स मुफ्त में शुरू करें
इसमें शामिल हैअधिमूल्य or टीमें
PyTorchArtificial Intelligence4 घंटा16 videos50 exercises4,050 एक्सपी8,971उपलब्धि का कथन
अपना निःशुल्क खाता बनाएँ
या
जारी रखने पर, आप हमारी उपयोग की शर्तें, हमारी गोपनीयता नीति को स्वीकार करते हैं और यह भी कि आपका डेटा संयुक्त राज्य अमेरिका में संग्रहीत किया जाता है।हजारों कंपनियों में कार्यरत शिक्षार्थियों द्वारा पसंद किया जाता है
दो या दो से अधिक लोगों को प्रशिक्षण देना?
DataCamp for Business को आज़माएँपाठ्यक्रम विवरण
Learn Text Processing Techniques
You'll dive into the fundamental principles of text processing, learning how to preprocess and encode text data for deep learning models. You'll explore techniques such as tokenization, stemming, lemmatization, and encoding methods like one-hot encoding, Bag-of-Words, and TF-IDF, using them with Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) for text classification.Get Creative with Text Generation and RNNs
The journey continues as you learn how Recurrent Neural Networks (RNNs) enable text generation and explore the fascinating world of Generative Adversarial Networks (GANs) for text generation. Additionally, you'll discover pre-trained models that can generate text with fluency and creativity.Build Powerful Models for Text Classification
Finally, you'll delve into advanced topics in deep learning for text, including transfer learning techniques for text classification and leveraging the power of pre-trained models. You'll learn about Transformer architecture and the attention mechanism and understand their application in text processing. By the end of this course, you'll have gained practical experience and the skills to handle complex text data and build powerful deep learning models.आवश्यक शर्तें
Intermediate Deep Learning with PyTorch1
Introduction to Deep Learning for Text with PyTorch
This chapter introduces you to deep learning for text and its applications. Learn how to use PyTorch for text processing and get hands-on experience with techniques such as tokenization, stemming, stopword removal, and more. Understand the importance of encoding text data and implement encoding techniques using PyTorch. Finally, consolidate your knowledge by building a text processing pipeline combining these techniques.
2
Text Classification with PyTorch
Explore text classification and its role in Natural Language Processing (NLP). Apply your skills to implement word embeddings and develop both Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) for text classification using PyTorch, and understand how to evaluate your models using suitable metrics.
3
Text Generation with PyTorch
Venture into the exciting world of text generation and its applications in NLP. Understand how to leverage Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and pre-trained models for text generation tasks using PyTorch. Alongside, you'll learn to evaluate the performance of your models using relevant metrics.
4
Advanced Topics in Deep Learning for Text with PyTorch
Understand the concept of transfer learning and its application in text classification. Explore Transformers, their architecture, and how to use them for text classification and generation tasks. You will also delve into attention mechanisms and their role in text processing. Finally, understand the potential impacts of adversarial attacks on text classification models and learn how to protect your models.
Deep Learning for Text with PyTorch
कोर्स पूरा
उपलब्धि प्रमाण पत्र अर्जित करें
इस क्रेडेंशियल को अपने लिंक्डइन प्रोफाइल, रिज्यूमे या सीवी में जोड़ें।इसे सोशल मीडिया पर और अपनी परफॉर्मेंस रिव्यू में साझा करें।
इसमें शामिल हैअधिमूल्य or टीमें
अभी दाखिला लेंजुड़ें 19 मिलियन शिक्षार्थी और आज ही Deep Learning for Text with PyTorch शुरू करें!
अपना निःशुल्क खाता बनाएँ
या
जारी रखने पर, आप हमारी उपयोग की शर्तें, हमारी गोपनीयता नीति को स्वीकार करते हैं और यह भी कि आपका डेटा संयुक्त राज्य अमेरिका में संग्रहीत किया जाता है।