Convolution Network Step By Step in Tensorflow and torch | Tutorial | Deep Learning With Image data

Unlock the power of deep learning with this hands-on tutorial on Convolutional Neural Networks (CNNs) using TensorFlow and PyTorch! Whether you're a beginner or looking to deepen your understanding of CNNs, this step-by-step guide will walk you through building and training models for image data. Learn key concepts, practical techniques, and see real-world applications in action. By the end, you'll have the skills to create your own CNN projects in both popular frameworks. Perfect for developers, data scientists, and AI enthusiasts—start mastering image recognition today! Tutorial Steps: Building a Convolutional Neural Network (CNN) in TensorFlow & PyTorch Setting Up the Environment Data Preparation Building the CNN Model Compiling the Model Training the Model Evaluating the Model Conclusion Notebook tensorflow: https://colab.research.google.com/drive/1dwIVpBRrrwSuo9VM5RxL82V3mpstymIt#scrollTo=Sa4CEKc5oxXY Notebook pytorch:https://colab.research.google.com/drive/1P2SlqyP0s0l3kNe3y_GtXbvpSAv4CYGQ#scrollTo=dsFmYu0TCT8d

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