You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
I publish a brand new Computer Vision, Deep Learning, and OpenCV tutorial every Monday at 10AM EST. Here you'll find my most recent tutorials and guides.
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
Today’s blog post will take a short diversion from our recent trend of Deep Learning tutorials here on the PyImageSearch blog and instead focus on a topic that I’ve been receiving a ton of emails about lately — common errors…
Read More of Common errors using the Raspberry Pi camera module
We previously learned about the k-NN classifier — a machine learning model so simple that it doesn’t do any actual “learning” at all. We simply have to store the training data inside the model, and then predictions are made at…
Read More of An Intro to Linear Classification with Python
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
In today’s blog post, we are going to implement our first Convolutional Neural Network (CNN) — LeNet — using Python and the Keras deep learning package. The LeNet architecture was first introduced by LeCun et al. in their 1998 paper,…
Read More of LeNet – Convolutional Neural Network in Python
I’m going to start today’s blog post by asking a series of questions which will then be addressed later in the tutorial: What are image convolutions? What do they do? Why do we use them? How do we apply them?…
Read More of Convolutions with OpenCV and Python
