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 . After completing this course you will be able to: Use Pandas DataFrames to manipulate data and make statistical computations . Use the Keras and Tensorflow libraries to use data to make predictions . Use the DataFrames library to manipulate DataFrames and manipulate data . Use use of Keras to make prediction predictions and make data-driven predictions. Use the Pandas library to make statistical calculations. Use Keras dataFrames and use Pandas data frames for data analysis. Use it as a tool to build a neural network model.
What you’ll learn in Neural Networks in Python: Deep Understanding for Beginners
- Obtain a strong understanding of Artificial Neural Networks (ANN) and Deep Knowing
- Understand the business circumstances where Artificial Neural Networks (ANN) is applicable
- Structure a Artificial Neural Networks (ANN) in Python
- Use Artificial Neural Networks (ANN) to make predictions
- Discover usage of Keras and Tensorflow libraries
- Make Use Of Pandas DataFrames to manipulate data as well as make statistical calculations.
Description
You’re searching for a full Artificial Neural Network (ANN) training course that shows you every little thing you need to create a Neural Network model in Python, right?
You’ve located the appropriate Neural Networks training course!
After completing this course you will be able to:
Who this course is for:
- People pursuing a career in data science
- Working Professionals beginning their Neural Network journey
- Statisticians needing more practical experience
- Anyone curious to master ANN from Beginner level in short span of time
| File Name : | Neural Networks in Python: Deep Learning for Beginners free download |
| Content Source: | udemy |
| Genre / Category: | Development |
| File Size : | 2.21 gb |
| Publisher : | Start-Tech Academy |
| Updated and Published: | 08 Aug,2022 |
