All Questions
Tagged with keras deep-learning
805
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Recommendations for a machine learning trading system [closed]
I recently completed a project that I have been working on to predict the movement of a stocks price either up or down then using a portfolio optimization algorithm to create a expected sharpe ratio ...
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Understanding Divergence in LSTM Units with Zero Initialization and Shared Weights?
I'm trying to understand how LSTM units can diverge over time when they start with zero initialization and share the same weights. Here are the key points of my confusion:
Initialization: All units ...
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10
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How to pass feature value to custom loss in Keras
I am using a custom loss to train my model and want to use feature value to have a differential loss, something like
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Feature importance and classes importance
I have the following trained time series classification tensorflow model :
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Why can't I replicate the results from this paper?
I'm trying to train a model to evaluate chess positions, following the methodology from this paper (note that the author presents several different architectures, but I'm only looking at the ANN with ...
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Vision Transformer model training and Validation accuracy stuck at 50
I have built Vision Transformers from scratch using Tensorflow keras for Binary classification of Fake and Real images.The dataset is balanced, 50% Real images and 50% fake images. But when i run this ...
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57
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Is it possible to train a neural network to feed into a Random Forest Classifier or any other type of classifier like XGBoost or Decision Tree?
I want to create a model architecture to predict future stock price movement as such:
The Goal of this model is to predict if the price will go UP or DOWN within the next 3 months.
I have tried a few ...
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41
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Tensorflow SegNet architecture
I was unable to find a complete description of the SegNet architecture for image segmentation (specifically, the decoder layers). Therefore, I would like to clarify the correctness of my ...
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82
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How to automate the restarting of training of deep learning model in TensorFlow
I am trying to automate the (recursively) restart of a finished deep-learning training session in TensorFlow. Currently, to restart I am manually restarting my kernel and re-running the training code.
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Building a CNN (with Keras for pixelwise classification)
I have a set of 120x120 input images with 3 channels. I want to build a basic CNN to predict the value of each pixel. I have 2 doubts. One is regarding the last layer - should be a Dense layer, or a ...
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68
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Training Loss for Classification Model Isn't Decreasing
I'm currently building a video classification model for engagement detection but I'm having some trouble training it. The model takes in two tensors as inputs: a 10x48x48x1 tensor which holds a stack ...
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I'm trying to build image search like Google Photo-Image with face is given to model & it'll get all the images in database in which he/she is present
When a user upload a selfie, the model search same person in dataset of images of multiple persons and get back all the images in which that person is present.
Step 1: From dataset of images I detect ...
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132
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Why the test accuracy showing some odd behaviour in comparison to train accuracy?
I am currently training an ANN using Sequential(a class from Keras API within tensorflow), and I am optimizing the model's architecture and came across something I have not seen before.
The graph of ...
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139
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activation=tf.keras.activations.relu vs activation='relu'
Both models are for binary classification problems
Model 1
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1
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49
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Confusion with tensorflow's Sequential Dense Layers
I'm working on a regression probem using Tensorflow, and have created two models with slight differences in their first Dense layer.
The Models
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