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# Category: Machine Learning

### #FA 003 Face Detection with OpenCV in Videos

In real case scenarios, there is often a need for detection and recognition of faces not just in images, but in videos. For example, this is a necessary prerequisite for security cameras, filters on social networks, identification at work and many other cases where cameras are used. The pictures are static, but videos can be seen as a series of pictures, or frames. All video clips are constructed of a constant number of frames in…

### # K An implementation of a Convolutional Neural Network in Keras – MNIST dataset

In this post we will see how we can classify handwritten digits using convolutional neural network implemented in Keras. Required packages: numpy matplotlib keras tensorflow sklearn seaborn __future__ keras-vis Table of Contents: Load the digit dataset Implementing a Neural Network Visualization Test our model Save a model as picture Activation Maps Saliency maps Activations And now we can plot some predictions, to see how our model works. Images for testing can be downloaded from the…

### # K An implementation of a Shallow Neural Network in Keras – MNIST dataset

In this post we will see how we can classify handwritten digits using shallow neural network implemented in Keras. Our model will have 2 layers, with 64(height x width) neurons in the input layer and 10 neurons in the output layer.We will use normal initializer that generates tensors with a normal distribution. The optimizer we’ll use is Adam .It is an optimization algorithm that can be used instead of the classical stochastic gradient descent procedure…
$$Inception\enspace network$$  Motivation for the $$Inception\enspace network$$: When designing a layer for a $$convnet$$ we might have to choose between a $$1 \times 3$$ filter, a $$3 \times 3$$ or $$5\times 5$$ or maybe a pooling layer. An $$Inception\enspace network$$ solves this by saying:“ Why shouldn’t we apply them all ? ”. This makes the network architecture more complicated, but remarkably improves performance as well. Let’s see how this works. An  architecture…