Preliminaries on Learning Neural Networks

$$$$f_W(x) == m**alpha * W_L sigma(W_(L - 1) * cdots sigma(W_1 *

x) cdots)

Preliminaries on Learning Neural Networks

$$$$L_S(W) == 1/n * sum(L_i(W))

Gradient Descent

$$$$m(delta, R, L, alpha)__star == O_tilde((poly)**(1 / alpha) @

log((n / delta))**2 /(2 - alpha))

Preliminaries on Learning Neural Networks

$$$$f_W(x) == m**alpha * W_L sigma(W_(L - 1) * cdots sigma(W_1 *

x) cdots)

Preliminaries on Learning Neural Networks

$$$$L_S(W) == 1/n * sum(L_i(W))

Gradient Descent

$$$$m(delta, R, L, alpha)__star == O_tilde((poly)**(1 / alpha) @

log((n / delta))**2 /(2 - alpha))