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Overview
This course offers a deep dive into artificial neural networks, a foundational technology for AI and deep learning. Students learn to design, build, and train ANN models using Keras, a high-level neural network API, with implementations in both Python and R. The curriculum covers key concepts such as layers, activation functions, backpropagation, and model evaluation. Hands-on projects enable learners to develop practical skills in image recognition, classification, and regression tasks. Suitable for beginners to intermediate AI practitioners, this course bridges...
Syllabus
- Introduction
- Setting up Python and Python Crash course
- Integrating ChatGPT with Python
- Setting up R Studio and R Crash Course
- Single Cells - Perceptron and Sigmoid Neuron
- Neural Networks - Stacking cells to create network
- Important concepts: Common Interview questions
- Standard Model Parameters
- Tensorflow and Keras
- Dataset for classification problem
Instructor
Start-Tech Academy
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