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The course on image captioning models powered by Google Cloud provides a hands-on approach in developing image captioning models that unleashes the ability to create image captioning models with major components of image captioning models, including the encoder-decoder, attention mechanisms, convolutional neural networks (CNNs) and recurrent neural networks (RNNs) etc. In addition to this, you will learn how to train and assess your image captioning model to produce automated captions for any picture you choose that are unique to your needs.Read More
Image captioning refers to automatically generating relevant captions or textual descriptions for images using machine learning techniques.
Encoder-decoder models like CNN-RNN are commonly used where a CNN encodes the image into features, and an RNN decodes it into captions.
There are no prerequisites needed to learn this image captioning course
Upon enrollment, you will have access to the course for a period of 90 days.
The mentors and industry professionals with extensive expertise in the sector are mindful of the demands of various learners and have developed the course to be simple to learn.
Anyone looking to get hands-on with deep learning for computer vision and NLP can benefit, including students, engineers, researchers, and hobbyists.
Upon successful completion of the course, you will be awarded with the course completion certificate powered by Google Cloud from SkillUp.
Image captioning models face hurdles in grasping key image features, producing coherent captions, and acquiring sufficient labeled training data.