Most of the current research on deep learning is focused on images. Deep learning is being actively applied to many areas, but image recognition is definitely generating a lot of buzz. Deep neural networks are being used for image classification tasks and they are able to outperform all the other approaches by a big margin. … Continue reading Deep Learning For Sequential Data – Part I: Why Do We Need It
Tag: Artificial Neural Networks
Deep Learning With Caffe In Python – Part IV: Classifying An Image
In the previous blog post, we learnt how to train a convolutional neural network (CNN). One of the most popular use cases for a CNN is to classify images. Once the CNN is trained, we need to know how to use it to classify an unknown image. The trained model files will be stored as "caffemodel" … Continue reading Deep Learning With Caffe In Python – Part IV: Classifying An Image
Deep Learning With Caffe In Python – Part III: Training A CNN
In the previous blog post, we learnt about how to interact with a Caffe model. In this blog post, we will learn how to train a proper CNN. Up until now, we were dealing with a single layer network. We just defined it in a prototxt file and visualized it easily. If we want our … Continue reading Deep Learning With Caffe In Python – Part III: Training A CNN
Deep Learning With Caffe In Python – Part II: Interacting With A Model
I know that the title looks slightly misleading. If you are thinking that we will be talking about how to interact with fashion models at a coffee shop, you are in for a big surprise! In the previous blog post, we talked about how to define and visualize a single layer convolutional neural network (CNN). In this … Continue reading Deep Learning With Caffe In Python – Part II: Interacting With A Model
Deep Learning With Caffe In Python – Part I: Defining A Layer
Caffe is one the most popular deep learning packages out there. In one of the previous blog posts, we talked about how to install Caffe. In this blog post, we will discuss how to get started with Caffe and use its various features. We will then build a convolutional neural network (CNN) that can be … Continue reading Deep Learning With Caffe In Python – Part I: Defining A Layer
How To Train A Neural Network In Python – Part III
In the previous blog post, we learnt how to build a multilayer neural network in Python. What we did there falls under the category of supervised learning. In that realm, we have some training data and we have the associated labels. Now the goal is to train the neural network correctly label our training data. Once … Continue reading How To Train A Neural Network In Python – Part III
How To Train A Neural Network In Python – Part II
In the previous blog post, we discussed about perceptrons. We learnt how to train a perceptron in Python to achieve a simple classification task. If you need a quick refresher on perceptrons, you can check out that blog post before proceeding further. In a way, perceptron is a single layer neural network with a single … Continue reading How To Train A Neural Network In Python – Part II
How To Train A Neural Network In Python – Part I
Deep learning uses neural networks to build sophisticated models. The basic building blocks of these neural networks are called "neurons". When a neuron is trained to act like a simple classifier, we call it "perceptron". A neural network consists of a lot of perceptrons interconnected with each other. Let's say we have a bunch of … Continue reading How To Train A Neural Network In Python – Part I
Autoencoders In Machine Learning
When we talk about deep neural networks, we tend to focus on feature learning. Traditionally, in the field of machine learning, people use hand-crafted features. What this means is that we look at the data and build a feature vector which we think would be good and discriminative. Once we have that, we train a model … Continue reading Autoencoders In Machine Learning
What Is Random Walk?
Consider the following situation. We have a drunkard who is clinging to a lamppost, and now he decides to start walking. He is in the middle of the street and the road runs from east to west. In his inebriated state, he is as likely to take a step towards the east as he is … Continue reading What Is Random Walk?
Perpetual Enigma 