Deck · Financial Engineering

Deep Learning for Finance

Feedforward, recurrent, and transformer architectures applied to time-series forecasting, derivatives pricing, and trading — with practical training and regularization techniques.

70 cards · audited · SM-2 spaced repetition

or go All-Access →

Included with the full Financial Engineering program — 19 decks, 1,382 cards.

Sample cards

1

Perceptron computation

2

Sigmoid vs. tanh activation

3

ReLU and leaky ReLU

4

GELU activation

5

ELU and SELU activations

Showing 5 of 70 cards. Unlock the program to study them all.

More in Financial Engineering

Algorithmic Trading70 cardsAsset Allocation80 cardsContinuous-Time Models82 cardsCorporate Finance & Investment Banking69 cardsCredit Risk & Credit Derivatives74 cardsFoundations of Financial Engineering80 cards

Master deep learning for finance — and the rest of Financial Engineering.

One program. 1,382 audited cards across 19 decks.

or go All-Access →

See the full program →