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Search before asking I have searched the YOLOv8 issues and discussions and found no similar questions. Question I am trying to train YOLOv8 classification models on a dataset of many videos. The sequence of the events in the videos are i...
How to predict future values with LSTM (RNN)?. Learn more about neural network, lstm, rnn, forecasting, prediction
Weekend: Build and train a simple linear regression model Week 2: Neural Network Foundations Monday: Study different loss functions (MSE, Cross-Entropy) Tuesday: Learn about optimizers (SGD, Adam, RMSprop) Wednesday: Implement various activation functions Thursday: Build your first neural network usin...
Could you please assist me in developing the LSTM network and guide me in ways to modify the model to make it more accurate? Also, how can I train the model to see how the location influences the signal strength data? Best, Tyler ...
Tracking fish movements and sizes of fish is crucial to understanding their ecology and behaviour. Knowing where fish migrate, how they interact with their
I am trying to train a Seq2Seq model using LSTM in Keras library of Python. I want to use TF IDF vector representation of sentences as input to the model and getting an error. X = ["Good morning","Sweet Dreams","Stay Awake"] Y = ["Good morning","Sweet Dreams","Stay Awake"] ...
Indeed, the LDN can be thought of as generating an optimal reservoir for encoding information over time, and we do not need to train any of the recurrent weights (since they are solved for using the NEF). Because of this optimality, these networks outperform state-of-the-art methods such ...
as well, if not better than LSTM:gru_1=GRU(rnn_size,return_sequences=True,kernel_initializer='he_normal',name='gru1')(inner)gru_1b=GRU(rnn_size,return_sequences=True,go_backwards=True,kernel_initializer='he_normal',name='gru1_b')(inner)gru1_merged=add([gru_1,gru_1b])gru_2=...