Neural Networks are machine learning systems designed to imitate that of the human brain, and more specifically, the network of neurons we use to learn and process information. Neural networks learn and improve over time as more data is introduced. They can be used to classify and predict data at a high velocity and make data processing and data prediction wildly efficient.
Tech Kits
Beginner
Introduction to Neural Networks
Length: 30 Minutes
Description: Neural networks are a type of computer system inspired by how the human brain processes information, using layers of connected nodes to recognize patterns and make decisions. They are widely used in emerging technologies such as image recognition, language translation, and predictive analytics, where the system learns from large amounts of data to improve accuracy over time. By mimicking the way humans learn from experience, neural networks provide practical applications in areas like healthcare, business, and everyday tools such as voice assistants, making them a foundational concept in modern artificial intelligence.
Intermediate
Standard Neural Networks with Keras
Length: 45 Minutes
Description: Neural networks are computer systems inspired by how the human brain processes information, built from layers of connected nodes that learn patterns in data. Using tools like Keras, a popular framework, these networks can be trained to recognize images, understand language, or make predictions by adjusting their internal connections through repeated practice. In practical terms, they power everyday technologies such as voice assistants, recommendation systems, and medical image analysis, offering a way to transform large amounts of raw data into meaningful insights through structured learning processes.
Advanced
Predicting Images with Keras
Length: 60 Minutes
Description: Keras is a tool that helps computers learn to recognize patterns in images by using a type of artificial intelligence called deep learning. It works by building layered models that can process visual data, such as pictures of animals or objects, and gradually improve their accuracy through training. This technology is widely used in practical applications like medical imaging, where it can assist in identifying diseases from scans, or in everyday tools such as photo apps that categorize pictures. By combining simple design with powerful capabilities, Keras makes complex image prediction tasks more approachable for real-world use.
Resources
Python 3.5
Type: Programming Language
Description: Python is an interpreted high-level programming language for general-purpose programming. Version 3.5 is a part of the many new versions that continuously are being put out.
TensorFlow
Type: Software Library
Description: TensorFlow is an open source software library for high performance numerical computations. It comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.
Keras
Type: Network Library
Description: Keras is a high level neural network library written in Python. It runs on top of TensorFlow and is quite user friendly for those getting started. It was made for fast experimentation and modularity.
Google Colab
Type: Development Environment
Description: Google Colab is a code development environment that runs in the browser using Google Cloud and utilizes cloud computing.