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CNN – Problem With Convolution Operation.
Problems With Convolution Operation Syllabus: Loss of Spatial Information Translation Variance Over-Sensitivity to Local Features Down sampling Effects (Due to Pooling) Difficulty with Non-Uniform Transformations Overfitting Computational Complexity Gradient Vanishing or Exploding Limited View of the Input (Receptive Field Problem) Class Imbalance Impact Lack of Explainability (1) Loss of Spatial Information (2) Translation Variance (3) Over-Sensitivity to Local Features (4) Down Sampling Effects (Due to Pooling) (5) Difficulty with Non-Uniform Transformations (6) Loss of Spatial Information (7) Loss of Spatial Information (8) Loss of Spatial Information (9) Loss of Spatial Information (10) Loss of Spatial Information (11) Loss of Spatial
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CNN – Filters
CNN – Filters Syllabus: What Is A Filter In CNN? Key Characteristics of Filters. How Filters Work? Examples Of Filter (1) What Is A Filter In CNN? A filter (also called a kernel) in a Convolutional Neural Network (CNN) is a small matrix of weights used to extract specific features from the input image or feature map during the convolution operation. Filters are essential building blocks in CNNs as they enable the network to detect patterns like edges, textures, or other spatial features in an image. (2) Key Characteristics Of Filters (3) How Filters Works (4) Examples Of Filters https://deeplizard.com/resource/pavq7noze2
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CNN – Strides
CNN – Strides Syllabus: What is Stride in CNN ? Key Points about Stride. Mathematical Formula for Output Size (Considering Stride). Effect of Stride on Output Size. Example of Stride in CNN. Visualization of Stride. Key Takeaways. (1) What Is Stride In CNN? Stride in a Convolutional Neural Network (CNN) refers to the number of pixels by which the convolutional filter (kernel) moves or “slides” over the input image or feature map during the convolution operation. (2) Key Points About Stride. (3) Mathematical Formula for Output Size (Considering Stride) (4) Example Of Strides (5) Advantages Of Increasing Strides
