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Question 1

3votes

1answer

134views

Time series prediction by LSTM model

I have a collection of TEC data. My data sample for example: day1, day2, day3, day4.Case1:I have the following task to do: Training by the consecutive 3 days to predict the each 4th day. Each day ...

S. M.

113

askedMar 29 at 12:48

Question 2

5votes

2answers

113views

Filipino Sign Language Recognition System Using MediaPipe & TensorFlow

I am working on a sign language recognition system that processes pre-recorded video datasets to extract hand gesture features for AI training. I am using MediaPipe, OpenCV, and TensorFlow to extract ...

Juwan Carlos Casuco

51

askedFeb 24 at 14:09

Question 3

4votes

1answer

407views

Machine Learning Model to Predict the Type of Variable Star from Light Curve

I've created this machine learning model that predicts the type of variable star based on the light curve. A variable star is a type of star whose luminosity changes over time. My model predicts ...

Astrovis

161

askedAug 12, 2024 at 1:00

Question 4

1vote

1answer

149views

Custom neural network implementation in TensorFlow to compare normalisation vs. no normalisation on data

I am performing a sports prediction multi-class classification problem, and wanted to compare the differences in model performance between normalised and non-normalised data. You can see the 2 ...

pastybake2002

43

askedFeb 16, 2024 at 13:13

Question 5

3votes

1answer

182views

Keras Tuner Subclass for Time Series Cross-Validation

Custom Keras Tuner with Time Series Cross-ValidationI have written my own subclass of the default Keras tunerTune class.Objective: I needed a way to incorporate ...

Furkan Öztürk

131

askedSep 22, 2023 at 7:14

Question 6

1vote

0answers

136views

Train a Keras model to recognize and predict speech in real-time using microphone as audio source

Please help me optimize this script. I'm running it in Google Colab GPU runtime. I've implemented many optimizations but they worsened it. I need serious help. I have to submit my project in 3 days!. ...

Mayur Sinalkar

21

askedMay 19, 2023 at 9:26

Question 7

1vote

0answers

914views

Object detection YOLO v1 loss function implementation with Python 3 and TensorFlow 2.x

About the codeObject detection YOLO v1 loss function implementation with Python + TensorFlow 2.x. It based on the Pytorch implementations below and re-implemented with TensorFlow based on my ...

mon

111

askedFeb 25, 2023 at 8:13

Question 8

1vote

0answers

85views

prediction student performance using conventional neural network CNN

I have to do an experiment to predict student performance using Deep Learning. We can try applying these models and compare the accuracy, precision, recall, and F1 score. (Also, we can try only fully ...

Fatima

19

askedAug 18, 2022 at 14:59

Question 9

1vote

0answers

50views

RESNET machine learning code with TensorFlow

I am a PhD student working on a machine learning project with binary classification and RESNET architecture in TensorFlow. I believe I have done everything correctly but I am looking for some ...

karl-gardner

11

askedApr 1, 2022 at 4:05

Question 10

8votes

2answers

1kviews

Face tracking with recognition and age/gender detection

This program loads a video, detects and tracks faces in the video and detects the estimated age and gender of each person. The objective is to collect data on the number of unique people in a video ...

rosall

81

askedJan 31, 2022 at 16:59

Question 11

2votes

0answers

88views

xagents - implementations of reinforcement learning algorithms

DescriptionIt is valid to say, this work started and evolved from a standalone DQN implementation, which I included in an old question, to a mini-library xagents, housing 7 re-usable tensorflow-based ...

watch-this

1

askedAug 17, 2021 at 11:08

Question 12

2votes

0answers

565views

How to avoid retracing in tensorflow when predicting scores for inputs with different sizes

I use the following code in order to assess the quality of an audio, which is based on this original-project: MOSNet. I callcompute_mosnet_score() in a loop with a ...

SuperKogito

231

askedJun 22, 2021 at 0:34

Question 13

2votes

0answers

91views

Toy neural network give poor results [closed]

I'm a beginner both in Python and Tensorflow.I made a toy neural network to learn both.The objective of the NN is to identify the module c, or separation between lines defined by random points, and ...

Fodeya

29

askedMar 25, 2021 at 3:21

Question 14

2votes

0answers

857views

Assigning parallel workers to predict from keras model using concurrent.futures

I am working on a Reinforcement learning project, where I have to gather a lot of data using a TensorFlow model. During the data gathering, the weights of the model do not change. So, I am using ...

kosa

121

askedFeb 22, 2021 at 19:29

Question 15

3votes

1answer

97views

Industrial Practices for Time-Series Forecasting

I have code here for predicting temperature across months. This is the dataset that I was using: https://www.kaggle.com/sumanthvrao/daily-climate-time-series-dataI used a SARIMA model, and looking at ...

Jasper Tan

31

askedJan 17, 2021 at 7:09

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Questions tagged [tensorflow]

Time series prediction by LSTM model

Filipino Sign Language Recognition System Using MediaPipe & TensorFlow

Machine Learning Model to Predict the Type of Variable Star from Light Curve

Custom neural network implementation in TensorFlow to compare normalisation vs. no normalisation on data

Keras Tuner Subclass for Time Series Cross-Validation

Train a Keras model to recognize and predict speech in real-time using microphone as audio source

Object detection YOLO v1 loss function implementation with Python 3 and TensorFlow 2.x

prediction student performance using conventional neural network CNN

RESNET machine learning code with TensorFlow

Face tracking with recognition and age/gender detection

xagents - implementations of reinforcement learning algorithms

How to avoid retracing in tensorflow when predicting scores for inputs with different sizes

Toy neural network give poor results [closed]

Assigning parallel workers to predict from keras model using concurrent.futures

Industrial Practices for Time-Series Forecasting

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