After detecting a face in an image, as seen in the earlier post ‘Face Detection Application’, we will perform face landmark estimation. Face landmark estimation means identifying key points on a face, such as the tip of the nose and the center of the eye.…

ContinueAdded by Muhammad Rizwan on November 9, 2018 at 11:19am — No Comments

In earlier posts, we learned about classic convolutional neural network (CNN) architectures (LeNet-5, AlexNet,…

ContinueAdded by Muhammad Rizwan on November 2, 2018 at 3:17am — No Comments

Alex Krizhevsky, Geoffrey Hinton and Ilya Sutskever created a neural network architecture called ‘AlexNet’ and won Image Classification Challenge (ILSVRC) in 2012. They trained their network on 1.2 million high-resolution images into 1000…

ContinueAdded by Muhammad Rizwan on October 18, 2018 at 10:19am — No Comments

Yann LeCun, Leon Bottou, Yosuha Bengio and Patrick Haffner proposed a neural network architecture for handwritten and machine-printed character recognition in 1990’s which they called LeNet-5. The architecture is straightforward and simple to understand that’s why it is mostly used as a first step for teaching Convolutional Neural…

ContinueAdded by Muhammad Rizwan on October 16, 2018 at 4:33pm — No Comments

**Why Use Framework for Deep Learning?**

You can implement your own deep learning algorithms from scratch using Python or any other programming language. When you start implementing more complex models such as Convolutional Neural Network (CNN) or Recurring Neural Network (RNN) then you will realize that it is not practical to implement very large models from scratch. …

ContinueAdded by Muhammad Rizwan on October 3, 2018 at 8:00pm — No Comments

**What is K Means Clustering?**

Clustering means grouping things which are similar or have features in common and so is the purpose of k-means clustering. K-means clustering is an unsupervised machine learning algorithm for clustering ‘n’ observations into ‘k’ clusters where k is predefined or user-defined constant. The main idea is to define k centroids, one for each cluster.

The K Means algorithm…

ContinueAdded by Muhammad Rizwan on September 27, 2018 at 7:06am — No Comments

**Introduction**

In a regular neural network, the input is transformed through a series of hidden layers having multiple neurons. Each neuron is connected to all the neurons in the previous and the following layers. This arrangement is called a fully connected layer and the last layer is the output layer. In Computer Vision applications where the input is an image, we use convolutional neural network…

ContinueAdded by Muhammad Rizwan on September 24, 2018 at 3:00pm — No Comments

Do you want to become a ‘Data Scientist’? If yes, then the first step is to understand the basic terms and their usage.

Data Science is not a new field as the statisticians were doing the job even before the computer invention. Though, the evolution of modern computing technologies empowered statisticians to solve a wide variety of practical problems with heavy number crunching and massive data storage. The terms ‘knowledge…

ContinueAdded by Muhammad Rizwan on August 24, 2018 at 3:30am — No Comments

- Application (2)
- AlexNet (1)
- Clustering (1)
- Convolutional (1)
- Estimation (1)
- Face (1)
- K (1)
- Keras (1)
- Landmark (1)
- LeNet-5 (1)
- Means (1)
- Network (1)
- Neural (1)
- ResNets (1)
- VGG16 (1)

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