Learning AI from scratch– category –

Recap and Today's Theme Hello! In the previous episode, we explored LibROSA, a powerful Python library for audio processing. We learned how to load, play, and extract features from audio files easily. Now, it's time to move on to a more ...

Recap and Today's Theme Hello! In the previous episode, we explored waveform visualization, learning how to display audio signals over time as changes in amplitude. By visualizing waveforms, we could understand the intensity and certain ...

Recap and Today's Theme Hello! In the previous episode, we covered the basics of audio data, discussing key concepts such as sampling rate and bit depth. Understanding these fundamentals allows you to handle audio data properly and manag...

Recap and Today's Theme Hello! In the previous episode, we discussed audio processing and covered the foundational technologies of digital audio, including speech recognition and speech synthesis. We learned about how audio is digitized ...

Recap and Today's Theme Hello! In the previous episode, we summarized Chapter 10 and conducted a knowledge check to review and deepen our understanding. Now, we’re moving into Chapter 11, where we will learn about speech recognition and ...

Recap and Today's Theme Hello! In the previous episode, we explored video data analysis, covering various methods for extracting information from videos and their applications. Video analysis is widely used in fields such as surveillance...

Recap and Today's Theme Hello! In the previous episode, we explored anomaly detection techniques, focusing on how to detect unusual behaviors in surveillance videos. This technology plays a crucial role in security systems, using both ru...

Recap and Today's Theme Hello! In the previous episode, we discussed the processing of point cloud data, focusing on how to acquire 3D scan data, remove noise, and convert the data into a mesh. Point cloud data plays a critical role in v...

Recap and Today's Theme Hello! In the previous episode, we discussed evaluation metrics in computer vision, such as accuracy, IoU, and mAP, which are crucial for evaluating model performance in various tasks. Today, we will explore the b...

Recap and Today's Theme Hello! In the previous episode, we introduced the basics of 3D vision, discussing various methods for obtaining depth information such as stereo vision, LiDAR, and ToF cameras. These technologies allow us to captu...

Recap and Today's Theme Hello! In the previous episode, we covered pose estimation using OpenPose, a technique for detecting human joint positions and analyzing poses. OpenPose has applications in fields like sports analysis, rehabilitat...

Recap and Today's Theme Hello! In the previous episode, we introduced style transfer, a technique for applying the style of one image to another while preserving the content. This technology is gaining attention in the fields of art and ...

Recap and Today's Theme Hello! In the previous episode, we explored the fundamentals of facial recognition and its various applications in security and social media. Today, we will dive into pose estimation, a technique used to estimate ...

Recap and Today's Theme Hello! In the previous episode, we discussed image generation using GANs (Generative Adversarial Networks) and explored their applications in generating and transforming images. Today, we will focus on Style Trans...

Recap and Today's Theme Hello! In the previous episode, we explored the implementation of U-Net, focusing on its role as a segmentation model for medical images and its performance in fields like healthcare and autonomous driving. U-Net ...