Week 7 Learning Session: Image Processing with Keras

Universitas Gadjah Mada - Sleman, Indonesia

Discover the fascinating world of image processing with Keras in our workshop led by Muchammad Daniyal Kautsar, a talented Machine Learning Engineer at Datains. Dive into the fundamentals of neural networks, learn how to implement convolutional layers, leverage pooling techniques, and explore regularization methods. Whether you're a data enthusiast or a seasoned developer, this workshop will equip

Feb 7, 2023, 12:30 – 2:30 PM

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Key Themes

Machine LearningTensorFlow / Keras

About this event

Attention, DevFolks! Are you ready to embark on an exciting journey into the realm of image processing? Join us for a dynamic workshop led by Muchammad Daniyal Kautsar, a skilled Machine Learning Engineer at Datains. In this session, we'll delve into the intricacies of image processing with Keras, one of the most popular deep learning frameworks, and unlock the potential of convolutional neural networks (CNNs) for extracting valuable insights from images.

The workshop begins with an overview of neural networks, providing you with a solid foundation for understanding how deep learning models work. You'll learn about the basics of neural networks and gain insights into how they can be trained to recognize and classify images. We'll also explore the concept of one-hot encoding, a crucial technique for representing categorical data, enabling you to prepare your image datasets for training.

Dive into the world of CNNs, a powerful architecture specifically designed for image processing tasks. You'll discover how to implement convolutional layers in Keras, which allow your model to automatically learn and extract meaningful features from images. Through hands-on exercises, you'll gain practical experience in building and training CNN models, enabling you to classify images with high accuracy.

Unlock the potential of pooling layers in Keras, which play a crucial role in downsampling and reducing the dimensionality of feature maps. You'll explore various pooling techniques, such as max pooling and average pooling, and understand how they contribute to the overall performance and efficiency of your CNN models.

To ensure the robustness and generalization of your models, we'll delve into regularization techniques and learning curves. You'll learn how to prevent overfitting and improve the performance of your image processing models. By examining learning curves, you'll gain insights into the convergence behavior of your models and understand how to fine-tune their hyperparameters for optimal performance.

Throughout the workshop, you'll engage in hands-on activities and practical examples to reinforce your understanding of image processing with Keras. You'll have the opportunity to work with real-world image datasets, experiment with different CNN architectures, and observe the impact of regularization techniques on model performance.

Join us in this workshop and unlock the power of image processing with Keras. Whether you're a machine learning enthusiast, a data scientist, or a developer passionate about computer vision, this workshop is perfect for anyone seeking to expand their knowledge and skills in image processing. Don't miss this opportunity to unravel the secrets of Keras and embark on an exciting journey into the world of image recognition and classification.

Speaker

  • Muchammad Daniyal Kautsar

    Datains

    Machine Learning Engineer

Organizers

  • Josiah Farrel Suwito

    GDSC Lead

  • Vinca C A

    Vice Lead

  • Raisa Aquila Zahra Kholiq

    Secretary

  • Achmad Hadzami Setiawan

    Suitmedia

    Academics

  • Jonathan Edmund Kusnadi

    Academics

  • albert cristianto halim

    Activation

  • Maulana Arya Alambana

    Universitas Gadjah Mada

    Activation

  • Firja Athanadhif

    Activation

  • Ananda Shabrina Putri Gunawan

    Universitas Gadjah Mada

    Activation

  • Wenka Wendira

    GDSC UGM

    Public Relations

  • Christopher Arya

    Public Relations

  • Radhyanas Oetomo

    Creative

  • Azzahra Darsono

    Creative

  • Nadia Hasna

    Academic

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