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TensorFlow 2

Classify Images using MobileNet and TensorFlow Lite

Classify Images using MobileNet and TensorFlow Lite

  • October 9, 2022
  • TensorFlow 2
  • 0 Comments
  • 344 Views
MobileNet is a convolutional neural network (CNN) that designed for mobile and embedded devices. MobileNet is often used for image classification. This tutorial demonstrates how to classify images using MobileNet...
Convert ONNX Format to TensorFlow 2 Model

Convert ONNX Format to TensorFlow 2 Model

  • September 23, 2022
  • TensorFlow 2
  • 0 Comments
  • 743 Views
ONNX is a format for representing machine learning models. ONNX is like an intermediary that makes it easier to exchange models between different machine learning frameworks. This tutorial demonstrates how...
Convert TensorFlow 2 Model to ONNX Format

Convert TensorFlow 2 Model to ONNX Format

  • April 30, 2022 (November 2, 2022)
  • TensorFlow 2
  • 0 Comments
  • 1132 Views
ONNX is a format for representing machine learning models. ONNX Runtime can be used to run inference using a model represented in ONNX format. This tutorial demonstrates how to convert...
Convert TensorFlow 2 Model to TensorFlow Lite Model

Convert TensorFlow 2 Model to TensorFlow Lite Model

  • July 3, 2021 (November 2, 2022)
  • TensorFlow 2
  • 0 Comments
  • 1727 Views
TensorFlow 2 provides the TFLiteConverter which allows converting a TensorFlow 2 model to TensorFlow Lite model. This model uses the .tflite file extension. TensorFlow Lite models can be executed using...
AIZOO Face Mask Detector using TensorFlow 2

AIZOO Face Mask Detector using TensorFlow 2

  • December 15, 2020 (November 2, 2022)
  • TensorFlow 2
  • 0 Comments
  • 1739 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 organizers require...
Calculate Huber Loss using TensorFlow 2

Calculate Huber Loss using TensorFlow 2

  • November 13, 2020
  • TensorFlow 2
  • 0 Comments
  • 3492 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

Calculate Log-Cosh Loss using TensorFlow 2

  • November 9, 2020
  • TensorFlow 2
  • 0 Comments
  • 2416 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

Calculate Binary Cross-Entropy using TensorFlow 2

  • November 8, 2020
  • TensorFlow 2
  • 0 Comments
  • 2116 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

Visualize Training Metrics using TensorBoard

  • November 8, 2020 (November 2, 2022)
  • TensorFlow 2
  • 0 Comments
  • 1843 Views
TensorBoard is a tool which allows visualizing training metrics (e.g. loss and accuracy), model graph, activation histograms, profiling results, etc. This tutorial demonstrates how to visualize training metrics using TensorBoard...
Send Epochs Results during Training to Server in TensorFlow 2

Send Epochs Results during Training to Server in TensorFlow 2

  • November 7, 2020
  • TensorFlow 2
  • 0 Comments
  • 779 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...
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