Xavier Initialization

Create a weight matrix with Xavier (Glorot) uniform initialisation: draw each entry from $U(-a,a)U(-a,a)$ with $a=\sqrt{6\mathrm{/}(\text{fan\_in}+\text{fan\_out})}a=\backslash sqrt\{6/(\backslash text\{fan\backslash \_in\}+\backslash text\{fan\backslash \_out\})\}$, using np.random.default_rng(seed).uniform(-a, a, (fan_in, fan_out)).

Implement solve(fan_in,fan_out,seed=0).

Returns. Return a float NumPy array of shape (fan_in, fan_out).

Examples

Example 1

Input:

solve(2, 3, 0)

Output:

[[0.300068, -0.504372, -1.005677], [-1.059235, 0.686341, 0.904302]]

Example 2

Input:

solve(1, 1, 5)

Output:

[[1.056561]]