Category AI

59. Categorizing AI

I’ve noticed I was slightly misunderstanding the categorization of AI when I was reading. DEEP LEARNING by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. First of all, like the drawing above, AI is making a machine do a task that would be…

58. Word Embedding

Let’s say we have 300 genres, that would mean each column of the table would be a 300×1 dimension vector representing the nuance of that word. Vectorizing this nuance is called word-embedding.By making the machine learn this nuance(the table above),…

54. Annotating Images with LabelIMG

For this post, I’d like to share how to label images using LabelIMG.I’ll be using the Anaconda command prompt, so start the tutorial after you’re inside one of your environments. Start LabelIMG Git clone the repo Install Requirements Change directory…

53. Data Augmentation with Albumentation

Augmenting Data In most case for AI projects, there are not enough data to train a model. So that’s when Data Augmentation comes into play! You can create new data from what you already have and use that to train…

51. Model Optimization with TensorRT

OPTIMIZING YOUR MODELThere is a machine learning framework called, TensorRT to “optimize” your model for faster inference. I’ve been converting many models to a TensorRT engine for a while, but I didn’t really know how it was optimizing the model.…

50. Detecting My BRITA with YOLOV5

MY BRITAFor the past few weeks, I’ve been deploying pre-trained models so, for this time, I finally made my first retrained model for detecting my BRITA(I honestly just didn’t have anything else to detect). Since it’s my first time, I…