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Score of -2
0 answers
77 views

I have used Hyperband automatic tuning for an ANN model to predict price. After running the model with the automatic tuning, I am obtaining an R2 score of 1.00 that suggest overfitting, however, I am ...
Advice
0 votes
1 replies
92 views

I'm currently taking Andrew Ng's Machine Learning course and have completed the supervised machine learning section. I want to build a strong understanding of machine learning concepts, but I'm also ...
Score of 0
1 answer
86 views

I am training a tensorflow model and want to use class_weight for evaluating both the training batches and the validation batches. However, I am only able to use the weights with the training data. ...
Best practices
0 votes
0 replies
55 views

I am working on an image classification project for plant disease detection using transfer learning models such as MobileNetV2 and EfficientNetLite. My datasets include 11 classes for maize diseases ...
Score of 0
0 answers
161 views

Problem: I have two outputs, out_buffers.size() == 2 but when I read the data in the second tensor output_buffers[1] the data is rubbish. The first tensor, output_buffers[0] gives the same output as ...
Tooling
0 votes
0 replies
68 views

I'm building a web app with FastAPI + async/await Python backend. Users upload leaf photos via API and the server should return: 1) plant species, 2) disease label or "healthy". Constraints: ...
Advice
0 votes
1 replies
95 views

I'm trying to train a GAN model, but its results are very bad. The Generator doesn't seem to work. Can someone suggest how this can be improved? What is the best way to remember the code? Can this ...
Advice
1 vote
0 replies
85 views

While working on a CNN model, I got confused. My questions are: Is visualizing RGB convolution filters by permuting from (out,in,h,w) to (h,w,in) the correct approach? Is normalizing all filters ...
Score of 1
2 answers
145 views

I am using tf.data.Dataset to pre-process data. When I use TensorFlow operations inside map(), the pipeline runs fast. But, after adding a small custom Python function inside map(), training becomes ...
Advice
0 votes
1 replies
53 views

I'm building a Flutter app for rice leaf disease detection using CNN as my thesis project. I'm confused about the best architecture: Option 1: Deploy CNN model as REST API (Python Flask/FastAPI), ...
Score of 0
1 answer
76 views

I am doing some NLP exercises. I am unable to use a saved model with a hub.KerasLayer layer :( Here are the steps I done: Create the model - OK Compile the model - OK Fit/Train the model - OK ...
Advice
3 votes
7 replies
246 views

I recently started learning Python and machine learning. I noticed that many developers use libraries like TensorFlow and Scikit-learn for predictive modeling. What are the main advantages of using ...
Advice
0 votes
1 replies
119 views

I construct two files on Microsoft Excel. One containing Totonaco words with Spanish Meaning and the second one containing Spanish words with Totonaco meaning. I would like to know which is the ...
Advice
0 votes
3 replies
98 views

Running untrusted TensorFlow models and noticed this: import tensorflow as tf import time class TestLayer(tf.keras.layers.Layer): def call(self, inputs): n = tf.cast(inputs[0][0], tf....
Best practices
0 votes
1 replies
73 views

I am training WGAN-GP on Eurosat dataset, splitted into train/val/test sets in counts 18900/4050/4050. Since FID scores are widely used in GANs in image generation, I based my hyperparameter search on ...

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