After reading this article you should have a rough understanding of the internal mechanics of neural nets, and convolution neural…
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Gentle Dive into Math Behind Convolutional Neural Networks
Gentle Dive into Math Behind Convolutional Neural NetworksMysteries of Neural Networks Part VPiotr SkalskiBlockedUnblockFollowFollowingApr 12Autonomous driving, healthcare or retail are just some…
Continue ReadingReview: DRN — Dilated Residual Networks (Image Classification & Semantic Segmentation)
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Continue ReadingA Comprehensive Introduction to Different Types of Convolutions in Deep Learning
Sure, there are. The depthwise separable convolutions reduces the number of parameters in the convolution. As such, for a small…
Continue ReadingGenerative Adversarial Networks (GANs) for Beginners
A GAN consist of two types of neural networks: a generator and discriminator. The GeneratorThe generator’s job is to take…
Continue ReadingReview: DCN — Deformable Convolutional Networks, 2nd Runner Up in 2017 COCO Detection (Object Detection)
Review: DCN — Deformable Convolutional Networks, 2nd Runner Up in 2017 COCO Detection (Object Detection)With Deformable Convolution, Improved Faster R-CNN and R-FCN,…
Continue ReadingUsing CNNs and RNNs for Music Genre Recognition
This model passes the input spectogram through both CNN and RNN layers in parallel, concatenating their output and then sending…
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