Learn how to use TensorFlow in this comprehensive tutorial video. Explore working with tensors, Google Colab, data downloading and cleaning, data visualization techniques including boxplots, histograms, and correlation matrices, and neural network regressions. Dive into handling random data, normalizing data, one-hot encoding, and separating features and labels. Master the process of building, compiling, optimizing, and evaluating models, including activation functions, fitting, and epochs. Access accompanying code on GitHub and gain practical skills in deep learning and machine learning using TensorFlow.