TensorFlow 2

Convert TensorFlow 2 Model to ONNX Format

• April 30, 2022
• TensorFlow 2
• 0 Comments
• 260 Views

ONNX is a format for representing machine learning models. ONNX Runtime can be used to run inference using model represented in ONNX format. This tutorial demonstrates how to convert TensorFlow...

Convert TensorFlow 2 Model to TensorFlow Lite Model

• July 3, 2021
• TensorFlow 2
• 0 Comments
• 1361 Views

TensorFlow 2 provides the TFLiteConverter which allows to convert a TensorFlow 2 model to TensorFlow Lite model. This model uses the .tflite file extension. TensorFlow Lite models can be executed...

AIZOO Face Mask Detector using TensorFlow 2

• December 15, 2020
• TensorFlow 2
• 0 Comments
• 1503 Views

Coronavirus (COVID-19) has affected many countries around the world. One of the protection method is to wear a face mask in public spaces. Many service providers and event organisers require...

Calculate Huber Loss using TensorFlow 2

• November 13, 2020
• TensorFlow 2
• 0 Comments
• 2829 Views

Huber loss is a loss function that is used to solve regression problems. This function is a combination of the mean squared error (MSE) and mean absolute error (MAE). Huber...

Calculate Log-Cosh Loss using TensorFlow 2

• November 9, 2020
• TensorFlow 2
• 0 Comments
• 2045 Views

Log-cosh loss is a loss function that is used to solve regression problems. Log-cosh is calculated as the average logarithm of the hyperbolic cosine of the differences between the predicted...

Calculate Binary Cross-Entropy using TensorFlow 2

• November 8, 2020
• TensorFlow 2
• 0 Comments
• 1594 Views

Binary cross-entropy (BCE) is a loss function that is used to solve binary classification problems (when there are only two classes). BCE is the measure of how far away from...

Visualize Training Metrics using TensorBoard

• November 8, 2020
• TensorFlow 2
• 0 Comments
• 1520 Views

TensorBoard is a tool which allows to visualize training metrics (e.g. loss and accuracy), model graph, activation histograms, profiling results, etc. This tutorial demonstrates how to visualize training metrics using...

Send Epochs Results during Training to Server in TensorFlow 2

• November 7, 2020
• TensorFlow 2
• 0 Comments
• 664 Views

TensorFlow 2 provides the RemoteMonitor callback which allows to send epochs results during training to a server. A server can save results to a file, database table or perform other...

Stop Training after Certain Time in TensorFlow 2

• November 4, 2020
• TensorFlow 2
• 0 Comments
• 632 Views

Model training can take a long time. TensorFlow 2 provides the TimeStopping callback which allows to stop training after a certain amount of time has passed. The TimeStopping callback is...

Write Epochs Results during Training to CSV File in TensorFlow 2

• November 2, 2020
• TensorFlow 2
• 0 Comments
• 1144 Views

TensorFlow 2 provides the CSVLogger callback which allows to write epochs results during training to a CSV file. After that file can be opened and results can be interpretated by...