mc ai

Exploring the Viability of Generative Adversarial Networks for Audio Denoising

Exploring the Viability of Generative Adversarial Networks for Audio Denoising Sharing our experiences building an audio denoiser using GANs Photo by Jason Rosewell on Unsplash An article by Jacob Boness, Jamie Thomassen, and Colton Davenport One of the main goals of the Innovation team at Daitan is to keep our eyes open to emerging technology that can positively impact our clients. Undoubtedly, one of such technologies is...

mc ai

Using generative models for explainable AI

Please find below the transcript for Season 2 Episode 5: Jeremie (00:00):Hello, and welcome to another episode of the Towards Data Science podcast. My name is Jeremie and I’m on the team over at the SharpestMinds data science mentorship program. Now, in the early 1900s a lot of our predictions were the direct product of the human brain. Scientists, analysts, climatologists, mathematicians, bankers, lawyers, politicians, they all...

mc ai

Introducing completely free datasets for data-driven deep reinforcement learning

Introducing completely free datasets for data-driven deep reinforcement learning In this blog post, I’m introducing the new datasets for data-driven deep reinforcement learning, which are available for completely free! What is data-driven deep reinforcement learning? Data-driven reinforcement learning (RL) is a paradigm that RL algorithms achieve policies to maximize rewards within the offline data, unlike online RL that...

mc ai

Big Things Are About To Happen: Google Releases Objectron Dataset

For evaluation of 3D object detection, we have the 3D counterpart of IoU (Intersection over Union) i.e. 3D IoU. This works by finding the intersection points of the 3D bounding boxes and then, using volume instead of area to do the calculation of IoU. The Areas That Will Be Disrupted Augmented Reality This is the field that will most benefit from this dataset. Datasets with indoor objects are less publicly available while most of...

mc ai

Fuzzy 2020 : 6th International Conference on Fuzzy Logic Systems

6th International Conference on Fuzzy Logic Systems (Fuzzy 2020) December 18 ~ 19, 2020, Sydney, Australia Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms. Scope & Topics 6th International Conference on Fuzzy Logic Systems (Fuzzy 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology, and...

mc ai

Backpropagation in Convolution Layers Using System Solution (torch.solve)

Backpropagation in Convolution Layers Using System Solution (torch.solve) By using the system solution, it is possible to backpropagate the amount of error in convolution layers. In this post, I am going to talk about how to do it on the code in the Jupyter notebook. Cool image from Unsplash. Photo by Michael Dziedzic on Unsplash Backpropagation methods in CNNs are commonly known methods. In my free time, I thought that there may...

mc ai

People Intelligence Platforms Can Boost Productivity | Peoplelogic.ai

People Intelligence Platforms Can Boost Productivity | Peoplelogic.ai “I can’t wait to go back to normal.” You’ve probably said it yourself, or at least heard it, in the past few weeks. That phrase has to be one of the most commonly uttered phrases since the start of the pandemic. However, most people have realized that life will not be going back to normal anytime soon, as COVID-19 cases are spiking worldwide, and...

mc ai

Python影像辨識筆記(二十二):Scaled-YOLOv4: Scaling Cross Stage Partial Network相關連結與介紹

Python影像辨識筆記(二十二):Scaled-YOLOv4: Scaling Cross Stage Partial Network相關連結與介紹 論文連結 GitHub Repo 新增的功能 對比舊版的PyTorch_YOLOv4,這個版本的程式碼支援多GPU訓練、高Batch size訓練(batch = 64,每個epochs約15分鐘)、resume training 使用方法 以yolov4-csp branch在TWCC國網中心的主機為例: pip install...