54 questions
I'm a beginner at Keras.In order to understand CNN, I am trying to create a model in Keras and output the recognition accuracy of the model based on cifar10 data.I am having trouble knowing the cause ...
We are developing AI to distinguish between rabbits and turtles.However, for some reason, the learning is not going well and the values of loss and acc (discriminatory success rate) are not getting be...
Caffe cifar10_quick_train_test has the output of the pooling layerOH=(H-FH)/S+1(32-3)/2 + 129/2 + 1The calculations are as follows:I don't think the number will be divisible, but what kind of process ...
Nice to meet you.This is my first time studying deep learning.Deep learning itself is a field I've never touched before, and I don't understand it at all.Assuming a certain EC site, I would like to le...
In deep learning, if an image is entered with RGB values, the feature extraction related to color information will only be performed in the first layer.However, color images can be generated from blac...
The environment is Ubuntu 16.04CUDA 9.1Opencv3.3.0 I tried to use YOLOv3 using GPU, but I got an error in make.What I did below git clone https://github.com/pjreddie/darknetcd darknetChange to vim Mak...
As I had some questions regarding the implementation of Python's batch Affine layer, I have a question (reference book: Deep Learning from scratch, pp. 150-152).Bias on the following Batch Affine Laye...
I tried to proofread the text using Seq2seq at Pythorch, but Decoder prints only the same word.This is main.py.Doing this will give you training and more.#main.pyimport copyimport torchimport torch.nn...
Currently, we use a model that combines CNN and RNN to categorize videos.Since the model is underfitting, I would like to increase the complexity of the model.However, CNN currently has about four lay...
I'm trying to make a self-encoder with Python using a Chainer.I wrote and executed the following code:class Autoencoder (Chain): def__init__(self): super().__init__() with self.init_scope(): self....
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