Explore the world of neural networks through an interactive browser-based experience in this code::dive 2018 conference talk. Delve into the rapid progress of deep learning and artificial neural networks, from image recognition to AlphaGo Zero's self-learning capabilities. Learn about the accessibility of deep learning using Python libraries like Keras and PyTorch, and discover the potential of TensorFlow.js for browser-based applications. Examine various use cases, including research paper demos, artistic projects, and privacy-focused applications like LSTM for code autocompletion. Journey through diverse topics such as quantum games, science-based games, medical imaging applications, satellite image processing, and machine learning model visualizations. Gain insights into text generation, interactive machine learning, and the open-source community's role in advancing these technologies.