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J
Building a Multimodal LLM (Jñāna) from scratch
J
Understanding Object detection with YOLO
J
CNN - Activation Functions, Global Average Pooling, Softmax, Negative Likelihood Loss
J
Max-Pooling, Combining Channels using 1x1 convolutions, Receptive Field calculation
J
Convolutions - Work horse behind CNN
J
Deep Learning- Understanding Receptive field in Computer Vision
J
How Computers classify objects in an image using Deep Learning