A step-by-step tutorial to develop an RNN that predicts the probability of a word or character given the previous word or character.
Suresh Rathnaraj is the co-founder of The AI Solutions, an artificial intelligence firm that builds AI solutions for companies. He is a machine learning engineer with a master’s degree in computer science. He is extremely passionate about deep learning and believes it can revolutionize the entire tech industry. When he is not working on AI applications, he plays football and practices yoga. Find him on LInkedIn.
A step-by-step tutorial to build generative models through generative adversarial networks (GANs) to generate a new image from existing images.
Using deep neural networks to make sense of unstructured text.
Classifying traffic signs with Apache MXNet: An introduction to computer vision with neural networks
Step-by-step instructions to implement a convolutional neural net, using a Jupyter Notebook.