-
Vanishing gradients (values get multiplied by small values in each RNN step) and exploding gradients are common RNN problems that occur when training during the backpropagation step. LSTM provides a dedicated cell state that is modified by forget, input, and output gates to alleviate those problems.
-
Gated recurrent units (GRUs) are simpler but less expressive memory cells, where the forget and input gates are combined into a single update gate.
- For a 3/4 time signature, you need 3 steps per quarter note, times 4 steps per quarter note, which equals 12 steps per bar. For a binary step counter to count to 12, you need 5 bits (like for 4/4 time) that will only count to 12. For 3 lookbacks, you'll need to look at the past 3 bars, with each bar being 12 steps, so you have [36, 24, 12].
- The resulting vector is the sum of the previous...
United States
United Kingdom
India
Germany
France
Canada
Russia
Spain
Brazil
Australia
Argentina
Austria
Belgium
Bulgaria
Chile
Colombia
Cyprus
Czechia
Denmark
Ecuador
Egypt
Estonia
Finland
Greece
Hungary
Indonesia
Ireland
Italy
Japan
Latvia
Lithuania
Luxembourg
Malaysia
Malta
Mexico
Netherlands
New Zealand
Norway
Philippines
Poland
Portugal
Romania
Singapore
Slovakia
Slovenia
South Africa
South Korea
Sweden
Switzerland
Taiwan
Thailand
Turkey
Ukraine