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Again, let’s presume that for a given layer in a neural network we have 64 inputs and 32 outputs. We then wish to initialize our weights in the range lower=-0.05 and upper=0.05. Applying the following Python + NumPy code will allow us to achieve the desired normalization: >>> W = np.random.uniform (low=-0.05, high=0.05, size= (64, 32 ...Microsoft Research Asia (MSRA) StarTrack Scholars Program is a visiting researcher program dedicated to empowering young scholars from across the globe. The program extends an exclusive invitation to outstanding young faculty members worldwide, offering them a three-month research visit opportunity at Microsoft Research Asia. The primary …

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