You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Machine LearningFollow these tutorials to discover how to apply Machine Learning to Computer Vision projects using OpenCV, scikit-learn, and more.
Nearly all of deep learning is powered by one very important algorithm: Stochastic Gradient Descent (SGD). — Goodfellow, Bengio, and Courville (2016) At this point, we have a strong understanding of the concept of parameterized learning. We previously discussed the…
Read More of Gradient Descent with Python
If you’ve been following along with this series of blog posts, then you already know what a huge fan I am of Keras. Keras is a super powerful, easy to use Python library for building neural networks and deep learning…
Read More of A simple neural network with Python and Keras
Many strategies used in machine learning are explicitly designed to reduce the test error, possibly at the expense of increased training error. These strategies are collectively known as regularization. —Goodfellow, Bengio, and Courville (2016) In previous lessons, we discussed two…
Read More of Understanding Regularization for Image Classification and Machine Learning
Last week, we discussed Multi-class SVM loss; specifically, the hinge loss and squared hinge loss functions. A loss function, in the context of Machine Learning and Deep Learning, allows us to quantify how “good” or “bad” a given classification function…
Read More of Softmax Classifiers Explained
A couple weeks ago,we discussed the concepts of both linear classification and parameterized learning. This type of learning allows us to take a set of input data and class labels, and actually learn a function that maps the input to…
Read More of Multi-class SVM Loss
In last week’s post, I introduced the k-NN machine learning algorithm which we then applied to the task of image classification. Using the k-NN algorithm, we obtained 57.58% classification accuracy on the Kaggle Dogs vs. Cats dataset challenge: The question…
Read More of How to tune hyperparameters with Python and scikit-learn
Normally, I only publish blog posts on Monday, but I’m so excited about this one that it couldn’t wait and I decided to hit the publish button early. You see, just a few days ago, François Chollet pushed three Keras…
Read More of ImageNet classification with Python and Keras
Now that we’ve had a taste of Deep Learning and Convolutional Neural Networks in last week’s blog post on LeNet, we’re going to take a step back and start to study machine learning in the context of image classification in…
Read More of k-NN classifier for image classification
Well. I’ll just come right out and say it. Today is my 27th birthday. As a kid I was always super excited about my birthday. It was another year closer to being able to drive a car. Go to R…
Read More of Local Binary Patterns with Python & OpenCV
