Row 8792

Row ID: 8792 | Dataset Entry | Axioma AXP Content Repository

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For vision ML: Learn what each layer does. What is a convolution? Up sampling? Activation functions? How does backpropagation work and how does each layer update its weights during such operation? Observe the underlying mathematical operations of everything.

Once you have that foundation, move on to programming. Create a basic CNN classifier algorithm. Explore basic generative algorithms, object detection, YOLO, u-nets, etc.

Vision is a good foundation in DL. Next you can review transformers and get into token prediction

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text For vision ML: Learn what each layer does. What is a convolution? Up sampling? Activation functions? How does backpropagation work and how does each layer update its weights during such operation? Observe the underlying mathematical operations of everything. Once you have that foundation, move on to programming. Create a basic CNN classifier algorithm. Explore basic generative algorithms, object detection, YOLO, u-nets, etc. Vision is a good foundation in DL. Next you can review transformers a…
label r/deeplearning
dataType comment
communityName r/deeplearning
datetime 2024-05-19
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Raw Record

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  "text": "For vision ML: Learn what each layer does. What is a convolution? Up sampling? Activation functions? How does backpropagation work and how does each layer update its weights during such operation? Observe the underlying mathematical operations of everything.\n\nOnce you have that foundation, move on to programming. Create a basic CNN classifier algorithm. Explore basic generative algorithms, object detection, YOLO, u-nets, etc.\n\nVision is a good foundation in DL. Next you can review transformers and get into token prediction",
  "label": "r/deeplearning",
  "dataType": "comment",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-19",
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