Our last post on the MRNet challenge presented a simple way to approach it. There you learned to make a separate model for each disease. And ended up with three models. Time to up your game! Now ...
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Generative and Discriminative Models
Most of the Machine Learning and Deep Learning problems that you solve are conceptualized from the Generative and Discriminative Models. In Machine Learning, one can clearly distinguish between the ...
Playing Chrome’s T-Rex Game with Facial Gestures
Consider this, you're in the middle of your work, and then suddenly due to some reason the internet stops working due to some router issue you're informed that it will be fixed in a few hours. So ...
Variational Autoencoder in TensorFlow
Deep Learning has already surpassed human-level performance on image recognition tasks. On the other hand, in unsupervised learning, Deep Neural networks like Generative Adversarial Networks ( GANs ) ...
Autoencoder in TensorFlow 2: Beginner’s Guide
Imagine you have an image or an audio file which you would like to transfer to a friend. Sending the raw format data could be time-consuming and potentially inefficient, especially when the files' ...
Deep Learning with OpenCV DNN Module: A Definitive Guide
The field of computer vision has existed since the late 1960s. Image classification and object detection are some of the oldest problems in computer vision that researchers have tried to solve for ...
