This week’s episode discusses TensorFlow, a popular open-source library developed by Google for machine learning and deep learning. TensorFlow provides developers with tools to represent and manipulate mathematical formulas, enabling them to build and train different types of neural networks, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs). The library can be used for various AI applications, including image recognition, natural language processing, and recommendation systems. The podcast discusses how TensorFlow was used to develop AlphaGo, an AI-powered computer program that defeated the world champion of the board game Go in a five-game match. The podcast also provides an overview of CNNs and RNNs, two neural network methodologies used for image recognition and natural language processing, respectively. CNNs work by analyzing small pieces of an image to recognize patterns and identify objects in the image. RNNs process data one element at a time while maintaining a "memory" of the previous elements in the sequence, enabling them to recognize patterns in the sequence and make predictions based on that context. Want to learn about Neural Networks, visit    • What is Natural L...   to watch the Tech Talk Simplified “What’s A Neural Network” episode. This episode is led by Wally Gustafson.