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Questions tagged [keras]

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Keras is a popular, open-source deep learning API for Python built on top of TensorFlow and is useful for fast implementation. Topics include efficient low-level tensor operations, computation of arbitrary gradients, scalable computations, export of graphs, etc.

2,664 questions
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5 votes
1 answer
41 views

Changing into a data engineer. I've started with this code to plot the metric of accuracy. ...
Chicory Dee's user avatar
  • 51
3 votes
1 answer
59 views

I am training a model using Keras python library to recognize images of drawings that belong to two artists. Here is a screenshot of the flactuations I am seeing: 587/587 ━━━━━━━━━━━━━━━━━━━━ 906s 2s/...
KamArk's user avatar
  • 31
1 vote
0 answers
35 views

I have a question. I'm doing a regression and I have 20 outputs where their sum is equal to 1 and also they are non-negative. I thought since their sum is equal to 1 maybe I can predict first 19 ...
Naivahash80's user avatar
  • 345
3 votes
1 answer
71 views

I'm working with a custom YOLO-like architecture implemented in TensorFlow/Keras. While pretraining on the COCO dataset works, I plan to fine-tune the model on a highly imbalanced dataset. ...
chhu's user avatar
  • 141
3 votes
1 answer
367 views

I'm trying to do a regression problem where I find Molar compositions of some chemical species. I'm using this kind of netwrok: ...
Naivahash80's user avatar
  • 345
5 votes
1 answer
100 views

I wanted to train a model for this dataset. the Inputs dataset is here:https://drive.google.com/file/d/1bbMa7auwYjYxyCB72UMBNv5kaojqV7WH/view?usp=sharing and the outputs dataset is here:https://drive....
Naivahash80's user avatar
  • 345
4 votes
1 answer
80 views

So I made a neural network from scratch, and it seems that my loss doesn't change at all; that's my train code. ...
Naivahash80's user avatar
  • 345
8 votes
1 answer
252 views

I'm training an LSTM model to predict a stock price. This is what I do with my model training: ...
joesan's user avatar
  • 219
6 votes
1 answer
147 views

I've been working in data science for a long time, but very rarely have I been called upon to implement an ML algorithm; I've just ran other people's libraries. I'm trying to pick up the skill. I'm ...
Zorgoth's user avatar
  • 305
2 votes
0 answers
62 views

I am training an DensNet model on medical dataset which has gold standards as per annotation. After training i noticed accuracy is just 60%. Later i performed following changes but still no luck. ...
NIrbhay Mathur's user avatar
  • 123
1 vote
0 answers
40 views

I am trying to train a GNN but am getting a NaN loss function immediately after the first training example. Below I have included all of the pertinent code. My input is 385 points in 3D space confined ...
Will Borrelli's user avatar
  • 11
1 vote
0 answers
34 views

here is the code from the Distance layer part because site is not allowing me to upload full code. embedding = make_embedding() distance layer ...
Prateek's user avatar
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1 vote
0 answers
39 views

I'm training a Deep Q-Network (DQN) to trade crypto using historical data. My model keeps outputting NaN values for the Q-values during prediction. I'm using a custom function getState2() to generate ...
user29255210's user avatar
  • 11
2 votes
0 answers
87 views

I'm trying to build a BNN but am encountering the error in the title. I tried to ensure I'm not passing a tuple to .shape.rank by : using the functional API with explicit Input (should make first ...
Eli Bain's user avatar
  • 21
2 votes
0 answers
38 views

I’ve made a couple of neural networks that predict separate target features form the same dataset. All these networks have different hyperparameters and different function transforms for example (log) ...
Marcin Bednarski's user avatar
  • 21

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