What is Image Captioning ? How can you do in tensorflow ?
Answer / Rama Kant
Image captioning is the task of automatically generating a natural language description (caption) for an image. In TensorFlow, you can implement image captioning using a model like Show, Attend and Tell (SAT). This model consists of an encoder to extract features from the image, an attention mechanism to focus on important parts of the image during caption generation, and a decoder to generate the final caption.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is RNN and What are applications of convolution neural network ?
What do you mean by tensorflow cluster?
What are the cons of tensorflow?
What are tensorflow loaders?
Does 1080ti have tensor cores?
What is embedding projector?
Define max pooling?
Where can you run a Tensorflow?
What are the components used for deploying a lite model file in tensorflow?
Is the rtx 2070 better than the gtx 1080?
What is tft?
What are the products built using Tensorflow?
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)