Artificial Neural Networks (ANN)
The Ultimate Training for Artificial Neural Networks (ANN)
Classes : 20 Days : 2 months Duration : Weekdays / Weekends
Most folks consider ANN`s synonymous with Neural Networks. However, both aren`t the same. Instead, an ANN is a type of Neural Network. ANNs are sometimes also referred as MLPs by the industry.
This course provides a solid foundation for a career in Artificial Neural Networks (ANN) and deep learning. We explain how ANN can be applied to create predictive models capable of informing financial decisions. We take you step by step through the process of building ANN models in Python until you can create your own ANN algorithms. This course can help you to predict financial shifts in time to plan for them.
ANN is one of the most popular ML algorithms used by Data Scientists today. The course begins with the basic introduction to neural networks covering important concepts such as perceptron, activation function, sigmoid neuron, NN architecture and logic. We then move to building ANNs, including data analysis, evaluation, error estimation and hypertuning before using the model to make predictions. This course explains the Business Scenarios and Best Business Practices, where ANN models have been successful. The course makes you an expert in ANN giving you a competitive edge over your peers in ML and Prediction Analytics.
Trainers:
Experts from the field of Maths, Data Science and Management, each with over 25 years of International experience working in EU/US/Australia
What you'll learn
:- Get a solid understanding of Artificial Neural Networks (ANN) and Deep Learning
:- Learn usage of Keras and Tensorflow libraries
:- Understand the business scenarios where Artificial Neural Networks (ANN) is applicable
:- Building and Train an Artificial Neural Networks (ANN) in Python
:- Use Artificial Neural Networks (ANN) to make predictions
Who this course is for:
:- People pursuing a career in Data Science
:- Anyone curious to master ANN from Beginner level in short span of time
:- Data Analysts and Engineers
:- University Students
:- Scientists and Researchers
:- You are hands-on with Machine Learning using Python.
:- You have theoretical knowledge of Neural Networks.
:- You have a genuine interest in ANN.
:- Introduction to ANN
:- Making Networks
:- Neural Networks
:- Setting up Python
:- Plotting
:- NN Models
:- Building An ANN Model
:- API and Regression Problems
:- Fine Tuning Models and Hyperparameters
:- Data Preprocessing
:- Variable Transformation
:- Linear Regression
:- Least Square Approach
:- Intro to Keras & TensorFlow
:- Outlier Treatment
:- Build Model using Keras
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Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.