This repository contains a collection of Jupyter notebooks and Python source code teaching TensorFlow from basics to intermediate applications. Topics covered include linear and polynomial regression, logistic regression, convolutional neural networks with batch normalization, deep autoencoders (standard, denoising, convolutional, and variational), and residual networks. The tutorials include pre-compiled wheels for GPU-enabled setup on Ubuntu with CUDA support.