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This is a project-based course which should take less than 1 hours to finish. Before diving into the project, please take a look at the course objectives and structure:\n\n## Course Objectives\n\nIn this course, our primary learning objective is to visualize image features that maximally activate filters of a **CNN**.\n\n## Course Structure\n\nThis course is divided into 3 parts:\n\n1. Course Overview: This introductory reading material.\n\n2. **Visualizing Filters of a CNN using TensorFlow**: This is the hands on project that we will work on in Rhyme.\n\n3. Graded Quiz: This is the final assignment that you need to pass in order to finish the course successfully.\n\n## Project Structure\n\nThe hands on project on **Visualizing Filters of a CNN using TensorFlow** is divided into following tasks:\n\n**Task 1: Introduction**\n**Task 2: Downloading the Model**\n**Task 3: Get Submodels**\n**Task 4: Image Visualization**\n**Task 5: Training Loop**\n**Task 6: Final Results**\n\n## Link\n\n[https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_b3/feature_vector/2](https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_b3/feature_vector/2)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcamara94%2Fvisualizing-filters-cnn-tensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcamara94%2Fvisualizing-filters-cnn-tensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcamara94%2Fvisualizing-filters-cnn-tensorflow/lists"}