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Data Science & ML track

LSTM

Gating mechanisms, long-range dependencies and sequence workflows.

6 concepts3 labs1 challenges
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Concepts

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Work through the concepts in order, or jump to what you need.

1

LSTM Intuition

Concept · Hands-on lab included

2

LSTM Internals

Concept · Hands-on lab included

3

GRU vs LSTM

Concept · Hands-on lab included

4

LSTM for Time Series Forecasting

Concept · Hands-on lab included

5

Bidirectional & Stacked RNNs

Concept · Hands-on lab included

6

LSTMs in the Modern NLP Stack

Concept · Hands-on lab included

Practice

Hands-on labs

Apply what you've learned in guided, production-style environments.

Browse all labs

Implement an LSTM Cell from Scratch

35 min · advanced · LSTM Internals

Window, Train, and Multi-Step Forecast

30 min · intermediate · LSTM for Time Series Forecasting

Stream a Token-by-Token Decoder

30 min · intermediate · LSTMs in the Modern NLP Stack

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Next modules

Keep your learning streak going with related modules.

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Mathematics

Linear algebra, calculus and notation needed for machine learning.

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Statistics

Distributions, estimators, hypothesis testing and statistical inference.

0%

Python

Scientific Python stack: environments, typing, numpy-style thinking.

DevOpsForge - Data Science & ML · LSTM
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