Build A Convolutional Neural Network in TensorFlow and Python | KerasTuner - Hyperparameter Tuning
Ready to dive into deep learning? This tutorial will guide you step-by-step in developing a Convolutional Neural Network (CNN) using TensorFlow and Python. Ideal for beginners and intermediate learners, this video breaks down complex concepts into easy-to-understand segments, helping you build your first CNN from scratch. You’ll learn how to set up your environment, preprocess data, construct the CNN architecture, and train the model to recognize patterns in images. The tutorial covers essential topics like convolutional layers, pooling layers, and activation functions, providing practical coding examples along the way. By the end of this video, you’ll have a solid understanding of how CNNs work and how to implement them in real-world applications, such as image classification and object detection. Perfect for those looking to enhance their machine learning skills and explore the power of TensorFlow in AI development. Start building smarter models today.
A detailed discussion on how a Convolutional Neural Network takes an image and find the output:
https://regenerativetoday.com/good-un...
The complete code used in this tutorial:
https://github.com/rashida048/TensorF...
Keras official documentation of Conv2D method:
https://keras.io/api/layers/convoluti...
Keras official documentation on MaxPooling2D:
https://keras.io/api/layers/pooling_l...
#machinelearning #artificialintelligence #deeplearning #tensorflow #python
