Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python
What you'll learn
- Get a solid understanding of Artificial Neural Networks (ANN) and Deep Learning
- Understand the business scenarios where Artificial Neural Networks (ANN) is applicable
- Building a Artificial Neural Networks (ANN) in Python
- Use Artificial Neural Networks (ANN) to make predictions
- Learn usage of Keras and Tensorflow libraries
- Use Pandas DataFrames to manipulate data and make statistical computations.
Requirements
- Students will need to install Python and Anaconda software but we have a separate lecture to help you install the sameS
Description
You're looking for a complete Artificial Neural Network (ANN) course that teaches you everything you need to create a Neural Network model in Python, right? You've found the right Neural Networks course! After completing this course you will be able to: Identify the business problem which can be solved using Neural network Models. Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc. Create Neural network models in Python using Keras and Tensorflow libraries and analyze their results. Confidently practice, discuss and understand Deep Learning concepts How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Neural networks course. If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in Python without getting too Mathematical.
Author(s): Start-Tech Academy
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