ICLR 2020 was a fully online conference this year with a broad range of machine learning and deep learning topics. Here are my key takeaways.
GANs are becoming ubiquitous in deep learning and their applications are springing up everywhere. Learn the top 5 GAN applications everyone must know about.
Recurrent neural networks are one of the fundamental concepts of deep learning. Learn rnn from scratch and how to build and code a RNN model in Python.
Face detection is all the rage these days - but can you build a model on a video? Things get tricky when the subject is dynamic - learn all about it here!
Inception network used for solving image recognition and detection problems. Learn about Inception networks and implementation of googlenet in Keras.
Object detection is seeing a boom in the machine learning space in recent times. Learn how to build object detection models from scratch in Python.
This article describes various unsupervised deep learning algorithms for Computer Vision along with codes and case studies in Python.
This article gives you an overview of deep learning essentials. Learn about unsupervised deep learning with an intuitive case study.
Discover the concept behind capsule networks and compare the different neural network architecture in python. Learn about deep learning capsule networks.
This article covers automatic Image Captioning. It also explains how to solve the image captioning problem using deep learning along with an implementation.
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