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Accuracy resolution in 3D convolutional neural networks using Keras
I am currently using 3D convolutional neural networks to classify EEG signals. I have 4080 images for training and 120 images for validation with a 10x45x6 shape.
The model is:
def cnn_3d(input_shape)...
Alejandro Alvarez
Votes: 0
Answers: 0
how does (PyTorch) model.load_state_dict() work for modified model?
I've modified BasicBlock of Resnet architecture by adding a few more FC layers at the end of the block.
I tried model.load_state_dict() on the new model and it worked perfectly.
I wonder how the weigh...
Quang Đại Nguyễn
Votes: 0
Answers: 0
Incompatible shapes: [16,8,1] vs. [16,1] [[{{node loss_3/dense_7_loss/MeanSquaredError/sub}}]]
I am trying to predict the quantity of c02 using LSTM model in RNN deep learning
import numpy as np
from numpy import zeros, newaxis
import pandas as pd
import matplotlib.pyplot as plt...
oladimeji
Votes: 0
Answers: 0
Is it ok that my deep learning model shows nearly 100% accuracy and validation accuracy after one epoch?
I am trying to make a model for the signature verification problem, so the dataset contains nearly 800 (already augmented) samples. I am assuming that this is the core of the problem I am getting.
Jus...
Tursynbay Zhaniya
Votes: 0
Answers: 1
