Today's state-of-the-art expert systems are plagued by four major problems: brittleness, lack of metaknowledge, knowledge acquisition, and validation. Knowledge acquisition by itself is a very time...

In Lecture 11 we move beyond image classification, and show how convolutional networks can be applied to other core computer vision tasks. We show how fully convolutional networks equipped with downsampling and upsampling layers can be used for semantic segmentation…

This is the first article of a multi-part series on using Python and Machine Learning to build models to predict weather temperatures based off data collected...

❤️ Check out Weights & Biases and sign up for a free demo here: https://www.wandb.com/papers
❤️ Their report for this paper is available here: https://wandb.ai/wandb/in-domain-gan/reports/In-Domain-GAN-Inversion--VmlldzoyODE5Mzk

📝 The paper "In-Domain GAN…

This video explains how FasterRCNN works and its step-by-step PyTorch implementation.
code: https://drive.google.com/open?id=1YTkLQlHbiltFtGRWmNZn6yk7YaGG2V8Y

This introductory video covers what wavelets are and how you can use them to explore your data in MATLAB®. Learn two important wavelet transform concepts: scaling and shifting. These concepts can be applied to 2D data such as images.

•Try Wavelet Toolbox:…

Explore the continuous wavelet transform and discrete wavelet transform. Understand the difference between the CWT and DWT and how they transform 1-D signals.

•Try Wavelet Toolbox: https://goo.gl/m0ms9d
•Ready to Buy: https://goo.gl/sMfoDr
You will also…

This video outlines the steps involved in denoising a signal with the discrete wavelet transform using MATLAB®.
•Try Wavelet Toolbox: https://goo.gl/m0ms9d
•Ready to Buy: https://goo.gl/sMfoDr
Learn how this denoising technique compares with other denoising…

Analyze the time-frequency characteristics of a signal with the continuous wavelet transform. Sharpen the time-frequency representation of a seismic signal to highlight the frequency localization advantages of the continuous wavelet transform.

•Try Wavelet…

In this course, you will learn how to build deep learning models with PyTorch and Python. The course makes PyTorch a bit more approachable for people starting out with deep learning and neural networks.

💻 Code:
https://jovian.ml/aakashns/01-pytorch-basics…

In this tutorial, you will learn how to perform image inpainting with OpenCV and Python.

Learn how to detect and remove duplicate images when building a dataset for deep learning.

In this lesson, we will learn how to perform image classification using Convolutional Neural Network (CNN) in MATLAB. Convolutional Neural Network (CNN) is a powerful machine learning technique from the deep learning domain. A collection of diverge image…

The paper "Noise2Noise: Learning Image Restoration without Clean Data" and its source code are available here:
1. https://arxiv.org/abs/1803.04189
2. https://github.com/NVlabs/noise2noise
3. https://news.developer.nvidia.com/ai-can-now-fix-your-grainy-photos…

This is a short explainer video on pandas in python. I tell you what pandas is, why it's used and give a couple of tutorials on how to use it. I do some exploratory analysis of the titanic data set and show you how pandas can work with time series using stock…