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Use ReLU, Leaky ReLU - Instead of sigmoid or hyperbolic tangent function for the hidden layer.- Do not use the sigmoid function on the hidden layer.- Leaky ReLU solves the problem of dead ReLU because the slope does not converge to zero for all inputs.- In the hidden layer, use variations of the ReLU function, such as ReLU or Leaky ReLU.Weight Initialization The aim of weight initialization is t..

eq It stands for "equal" - it performs element-wise equality comparison between tensors.tensor1.eq(tensor2) # Returns True/False for each elementCompares each element in tensor1 with corresponding element in tensor2Returns a boolean tensor with True where elements are equal, False otherwiseFor example, predicted = torch.tensor([1, 2, 3, 4, 5])targets = torch.tensor([1, 0, 3, 0, 5])result = pre..

float16 VS float32 VS float64 These are different precision levels for floating-point numbers, defined by how many bits are used to store them: Precision levels:float16 (half precision): 16 bitsRange: ±65,504Precision: ~3-4 decimal digitsUse: Memory-constrained models, mixed precision trainingfloat32 (single precision): 32 bitsRange: ±3.4 × 10³⁸Precision: ~7 decimal digitsUse: Default for most P..

rand It returns a tensor filled with Random floats from a uniform distribution on the interval [0, 1]. Uniform distribution on [0, 1] means : Every number between 0 and 1 has an equal probability of being selected. It doesn't mean the numbers will be evenly spaced or look "uniform" when you look at a few samples. For example, torch.rand(4)=> tensor([0.7529, 0.8579, 0.6870, 0.0051]) Each of these..

Pangolin It is a set of lightweight and portable utility libraries for prototyping 3D, numeric or video based programs and algorithms. It is used quite widely in the field of Computer Vision as a means to remove platform-specific boilerplate and make it easy to visualize data.Pangolin installation error In file included from /home/motoko/workspace_julita/Pangolin/src/python/pypangolin/colour.cp..