In this episode we answer the question "what is terraform" in a simple, easy to understand way -- using the analogy of building a house. You'll learn about HCL -- HashiCorp Configuration Language -- and it's role in terraform. In addition, we answer the questions "what is infrastructure as code?" and "what is infrastructure?" It's one of the quickest and most succinct Tech Talk Simplified to date!

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.

In this episode we learn about the text to image creation process, also known as stable diffusion. Stable diffusion is the process of taking a blank space and adding noise to the blank space until the noise itself forms the desired image. Today’s video takes a good look at “how” stable diffusion enables text inputs to result in a digital image with no visual inputs.

In this episode we answer the following questions:

1.     How are stable diffusion models trained?

2.     How does stable diffusion create original images?

3.     How does a stable diffusion model know what noise to put where to create the images?

4.     What exactly is noise?

This episode is led by Wally Gustafson. The thoughts and opinions expressed in these videos are those of the presenters and their guests and do not represent the views of the organizations where they work.

#stablediffusion #texttoimage #innovation #techsimplified