TensorFlow Image Classification Tutorial: ResNet50 vs. MobileNet

Discussion in 'Python' started by Eran Feit, Jul 28, 2023.

  1. Eran Feit

    Eran Feit Member

    Aug 20, 2022
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    This is an image Classification tutorial using Python, TensorFlow, and Keras with Convolutional Neural Networks (CNNs).

    In this video, we'll learn how to use pre-trained models to classify images based on Resnet50 and Mobilenet.

    1. Introduction to image classification and CNNs.

    2. Using TensorFlow and Keras for building the classification process.

    3. Loading pre-trained models from the Keras application library (such as ResNet50 and MobileNet).

    4. Explaining how to prepare a fresh image for classification, including resizing it to the model's shape and converting it to a batch of images using the Numpy expand_dims function.

    5. Running the prediction process on the pre-trained models (ResNet50 and MobileNet) for the given image.

    6. Comparing and analyzing the quality of predictions between the two models.

    The link for the video :

    I also shared the Python code in the video description .


    #Python #TensorFlow #Deeplearning #convolutionalneuralnetwork #mobilenet #Resnet50

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