I implemented an own simple datagenerator based on https://stanford.edu/~shervine/blog/keras-how-to-generate-data-on-the-fly My datagenerator uses as input and
Hi I have three metrics on validation, obj_loss, vls_loss and box_loss, which one I should look at when deciding the timing to stop the model training?
in some cases we do not send any Y_train(Category/classes) and the code still works For Example:- history = model.fit( train, epochs=epochs, batch_size=Batch, v
I am building a model for human face segmentation into skin and non-skin area. As a model, I am using the model/method shown here as a starting point and adding
How to implement boundary metric in keras? I mean something like IoU but monitoring boundary over union during training? I found how to define iou metric, how d
In Simple RNN Layer, number of units corresponds to the output shape specification. If unrolled, each time steps can be represented as a separate layer. But I a
I have implemented a neural network from scratch. I have taken random values as both input and output. When I use a single layer( with sigmoid activation) the n
I have trained two Faster RCNN models with the exact same parameters with the exception of: Model 1: 150 epochs Model 2: 5 epochs Once the models have been trai
I know about the embedding layer, bidirectional LSTM and dense layers as well. However, I don't understand clearly that what are the numbering actually doing he
I am currently trying to implement a very basic 2D convolution using CUDA cuDNN between an "image" of size 3x3 and a kernel of size 2x2, resulting in a 2x2 outp
I am trying to write a simple 1 dimensional convolution with a regression (1 dimensional float) output. model = Sequential() model.add(Conv1D(filters=1, kernel_
I am working on a trainning task with CNN. When I created the loss function with CrossEntropyLoss and trained the dataset, the error reminded me that the batch
I have an imbalanced dataset from Google OpenImages of 6 classes Train (starfish=439; Dolphin = 890; Turtle = 1362; Fish = 6216; Jellyfish = 733; Shellfish = 11
I'm trying to use Facebook's SVoice to split out different speakers in my audio file using python. I found a library that implemented it here: https://github.co
I am trying to change a neural network that classifies pointclouds into 40 different classes, to a regression networks that predicts a specific property of them
i am new to python and i am trying to create a model that can measure how similar movies are based on the movies description,the steps i followed so far are: 1.
Given a pre-trained ResNet152, in trying to calculate predictions bench-marks using some common datasets (using PyTorch), and the first RGB dataset that came to
How can I make this DNN model in tensorflow? 31 neurons in the first, 10 in the second, 5 in the third hidden layer, and 2 neurons in the output layer. The acti
I am using CNN-LSTM network for image classification. My image size is (224, 224, 3) and batch size is 90. I m getting this error when i passing input to LSTM l
How do I fit two unproportional arrays to a regression model? Is it possible to resize/reshape one without loosing the data? I used the code from here but my tr