Dive into a comprehensive 7-hour tutorial series on TensorFlow 2.0 for beginners, designed to build a strong foundation for creating machine learning projects. Learn installation and setup, tensor basics, neural networks, convolutional neural networks, regularization techniques, RNNs, GRUs, LSTMs, and advanced topics like model subclassing, custom layers, transfer learning, and data augmentation. Explore practical implementations using TensorFlow, guided by concise explanations and references to theoretical concepts. Progress through hands-on examples, including custom datasets, callbacks, and training loops, culminating in a beginner project on skin cancer classification. Master TensorBoard for visualization and gain the skills to develop your own machine learning applications.