Learn to build and implement Convolutional Neural Networks (CNNs) using TensorFlow in this comprehensive livestream tutorial. Dive deep into the world of image recognition and object detection as you explore the power of CNNs for various applications, including cancer tumor detection and driverless car technology. Follow along with live coding and explanations covering essential topics such as data preparation, normalization, convolution, activation, pooling, performance optimization, and overfitting prevention. Gain hands-on experience in uploading data to Google Colab, gathering and preparing images, augmenting datasets, and saving and loading models. By the end of this tutorial, you'll have a solid understanding of CNNs and their implementation using TensorFlow, equipping you with valuable skills for computer vision projects and machine learning applications.