6,107 questions
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Why does my LSTM time series prediction show periodic sharp downward spikes on test data?
I am trying to predict google stock price using LSTM model from PyTorch.
However after training my model and plotting the predicted results vs the real value, I see periodic sharp downward spikes.
...
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2
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87
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LSTM time series using Keras Sequential, .predict() explanation
I fit a model using Keras sequential with LSTM layers. The LSTM model will have certain aspects of the state carry forward from one period t to the next, besides the the input sequence of values for ...
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0
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1
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139
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Why does a LSTM pytorch model yield constant values?
I am training a LSTM model with data from yfinance. The process is really standard. I get the data with yf.download(ticker=ticker) where ticker='AAPL and do df.rolling(30, min_periods=1) to smooth the ...
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3
votes
0
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89
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Multimodel for image captioning with CNN and LSTM over flickr30k does not learn. How to fuse image features and word embeddings?
I'm working on an image captioning project using a simple CNN + LSTM architecture, as required by the course I'm studying. The full code is available here on GitHub (note: some parts are memory-...
0
votes
0
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40
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AWS Sagemaker invoke endpoint error "Could not find variable lstm_model/dense/bias"
I have trained a model and deployed as endpoint using aws sagemaker and when I tried to invoke I have got error:
2025-09-09 14:58:25.724914: I external/org_tensorflow/tensorflow/core/framework/...
0
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0
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30
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AttributeError: the layer convolutional_Bidirectional_LSTM has never been called and thus has no defined input
I have 3 models and I want to create a hybrid model with these. I put my first models when I want to call the input of this I get an error.
This is my code:
def memory_model(input_shape, num_class, ...
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1
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50
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Ram Memory leak when scripting a Sampling Trainer for a Bert Encoder and LSTM Decoder Tensorflow on GPU
I wrote the module attached below. However, I notice a constant increase of RAM until I get an out of memory error. The code runs on CPU without a problem (except the slow training time). It can ...
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0
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0
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102
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RL Trading Agent Can't Learn Sensible Behavior Even on a Simple Sine Wave — What Am I Doing Wrong?
I’ve been building a reinforcement learning trading agent using a synthetic sine wave as the price series — basically the simplest dataset I could imagine to test whether an agent can learn to buy low ...
- 169
2
votes
1
answer
126
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Error forming mini-batch for network input
I am trying to predict vehicle trajectory, using t-30 data sequence to predict until t+30 trajectory. The data I have created is an neighbour occupancy matrix for each frames for each cars, this data ...
0
votes
0
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108
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Lstmtraining Tesseract-OCR
I followed the steps for fine-tuning Tesseract for handwriting recognition. I have the character images and the corresponding box files. Then I generated the .lstmf files, followed by the lstm_train....
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0
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0
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LSTM controller for three phase inverter
I want to use the LSTM network as a controller of a three-phase inverter.
The lstm controller will have six inputs, 3 sinuocidal voltage signals and 3 sinuocidal current signals (400 Hz). The lstm ...
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0
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1
answer
53
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LSTM model produces single output for full batch of training data
My training set has dimensions [7000, 2], but my output has single number in it. I want to configure the model to understand that "I want one output for each row in X_train", but I don't ...
- 4,395
0
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1
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89
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Why does my LSTM model raise max_seq_length <= 0 when predicting with new input of same shape?
I'm training a multi-branch LSTM model on Kaggle using 2x T4 GPUs, with multiple input sequences of different lengths. My target is the "close" column.
1. Normalization and Data:
I normalize ...
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0
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0
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159
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snpe-pytorch-to-dlc tries to duplicate LSTM model weights for each sample in the input window which crashes for large window sizes
I am trying to convert pytorch LSTM model to DLC. The original pytorch model is of 200 MB. I also converted it to traced TorchScript model, scripted TorchScript model and ONNX model. All three are of ...
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-1
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1
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65
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Stock Market Hybrid Model -LSTM & Random Forest
I am working on a market risk assessment involving a hybrid of LSTM and Random Forest. This post might seem dumb , but I am really struggling with the model right now , here are my struggles in the ...
