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Convolution Neural Network Step By Step Implementation | Tutorial | Deep Learning With Image data
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Welcome to this comprehensive tutorial on Convolutional Neural Networks (CNNs), where we guide you step by step through the implementation process! In this video, you'll learn the fundamentals of CNNs, a powerful deep learning technique used for image classification, object detection, and more.
We'll cover:
Understanding the architecture of CNNs
Detailed walkthrough of each layer (convolutional, pooling, fully connected)
Implementing a CNN from scratch using Python and TensorFlow/PyTorch
Training and evaluating your model on image data
Tips and tricks for optimizing your network's performance
Whether you're a beginner in deep learning or looking to deepen your knowledge, this tutorial will help you build a solid foundation in working with image data using CNNs.
Don't forget to like, share, and subscribe for more deep learning tutorials!
We'll cover:
Understanding the architecture of CNNs
Detailed walkthrough of each layer (convolutional, pooling, fully connected)
Implementing a CNN from scratch using Python and TensorFlow/PyTorch
Training and evaluating your model on image data
Tips and tricks for optimizing your network's performance
Whether you're a beginner in deep learning or looking to deepen your knowledge, this tutorial will help you build a solid foundation in working with image data using CNNs.
Don't forget to like, share, and subscribe for more deep learning tutorials!
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