Added Adam optimizer implementation

[Spnetic-5]

Adam Implementation:

• Momentum Update: m = beta1 * m + (1 - beta1) * gradient

• Adaptive Learning Rates Update: v = beta2 * v + (1 - beta2) * gradient**2

• Bias-Corrected First and Second Moment Estimates: m_hat = m / (1 - beta1**t) v_hat = v / (1 - beta2**t)

• Parameter Update: param = param - learning_rate * m_hat / (sqrt(v_hat) + epsilon)

[milancurcic]

CI seems to have trouble downloading test files from GitHub. Not real failures; tests pass on my end.

[milancurcic]

@Spnetic-5, just checking, your latest commit message mentions the convergence test but the commit doesn't actually include the test.

[Spnetic-5]

@Spnetic-5, just checking, your latest commit message mentions the convergence test but the commit doesn't actually include the test.

Sorry, forgot to push test file😅️

[milancurcic]

Thank you, @Spnetic-5, will merge. Please release v0.14.0 when ready.