Series: Optimization Intro to optimization in deep learning: Vanishing gradients and choosing the right activation function An look into how various activation functions like ReLU, PReLU, RReLU and ELU are used to address the vanishing gradient problem, and how to chose one amongst them for your network.
Machine Learning Style Transfer Part 2: Face Swap! Face transfer using deep neural nets Introduction In the previous article we looked at what style transfer was and how to use it to create your own art. Now, we will focus on
Machine Learning Recurrent Neural Networks (RNNs) : Part 1 Building an intuition There is a vast amount of data which is inherently sequential, such as speech, time series (weather, financial, etc.), sensor data, video, and text, just to mention some. Recurrent Neural
