| S.No | Question |
|---|---|
| *1. | Build a deep learning model using TensorFlow to classify images in a given dataset into multiple categories. |
| *2. | Develop a recurrent neural network (RNN) model using TensorFlow for sequence prediction or text generation tasks. |
| *3. | Build a chatbot using a combination of NLP techniques and deep learning models. |
| *4. | Develop a language translation system using sequence-to-sequence models in TensorFlow. |
| *5. | Build a recommendation system using deep learning models for personalized product recommendations. |
| *6. | Develop a deep learning-based question answering system using natural language understanding techniques. |
| *7. | Implement a sentiment analysis model for social media data using deep learning and NLP libraries. |
| *8. | Build a text generation model using recurrent neural networks for generating creative and coherent text. |
| *9. | Implement a deep learning-based image captioning system that generates textual descriptions for images. |
| *10. | Build a deep learning-based emotion detection system for analyzing and classifying emotions in text or speech data. |
| S.No | Question |
|---|---|
| #1. | Implement a convolutional neural network (CNN) using TensorFlow for image recognition tasks. |
| #2. | Create a natural language processing (NLP) model using TensorFlow to perform sentiment analysis on text data. |
| #3. | Implement a text classification model using TensorFlow for document categorization tasks. |
| #4. | Create a speech recognition system using deep learning techniques and libraries such as TensorFlow and Keras. |
| #5. | Implement a text summarization model using deep learning techniques for generating concise summaries of long texts. |
| #6. | Build a named entity recognition (NER) model using deep learning to identify and classify named entities in text data. |
| #7. | Create a deep learning-based chatbot that can engage in natural language conversations and answer user queries. |
| #8. | Develop a deep learning model for text classification using word embeddings and recurrent neural networks. |
| #9. | Create a language model using deep learning techniques for auto-completion and text generation. |
| #10. | Develop a deep learning model for named entity recognition in medical texts for identifying medical terms and entities. |
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