type of artificial neural network used in image recognition and processing that is specifically designed to process pixel data. CNNs are powerful image processing, artificial intelligence (AI) that use deep learning to perform both generative and descriptive tasks, often using machine vison that includes image and video recognition, along with recommender systems and natural language processing (NLP). 9 TANISHA BHAYANI
spatial convolution. Suppose in the figure above, we have 5 channels, then we will have 5 n×n spatial convolution. • Pointwise convolution actually is the 1×1 convolution to change the dimension. 10 TANISHA BHAYANI
right answers are — we just look. Every so often, your mother says “that’s a dog”, but that’s very little information. You’d be lucky if you got a few bits of information — even one bit per second — that way. The brain’s visual system has 10¹⁴ neural connections. And you only live for 10⁹ seconds. So it’s no use learning one bit per second. You need more like 10⁵ bits per second. And there’s only one place you can get that much information: from the input itself.” — Geoffrey Hinton, 1996 11 TANISHA BHAYANI
using Siamese Networks 3. Animal Facial Recognition using CNN 4. Accurate Recommendations Engine 5. 4D CNN for medical domain (Brain Imaging) 6. Image Generation de-noising using CNN 7. Clustering Environmental images using CNN, and more... 15 TANISHA BHAYANI