Artificial Neural Networks (ANN) Training in Gurgaon, Delhi

Artificial Neural Networks (ANN)

The Ultimate Training for Artificial Neural Networks (ANN)

Duration : 1 year Classes : 72 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

Most folks consider ANNs 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.

Target Audience:
:- 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

Learning Outcomes:-
:- 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

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

:- You are hands-on with Machine Learning using Python.
:- You have theoretical knowledge of Neural Networks.
:- You have a genuine interest in ANN.

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NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Introduction to AI/ML/DL
✔ Biological vs artificial neurons
✔ Multi-Layer Perceptrons (MLP)
✔ Applications of ANN: classification, clustering, forecasting, control, optimization
✔ Learning paradigms: supervised, unsupervised, reinforcement learning

Module 2: Supervised Learning Models
✔ Perceptron networks and linear separability
✔ Adaptive Linear Neuron (Adaline)
✔ Backpropagation algorithm (BPA)
✔ Multi-layer feedforward networks
✔ Training algorithms and limitations

Module 3: Unsupervised Learning Models
✔ Winner-takes-all networks
✔ Hamming networks and Maxnet
✔ Competitive learning and Kohonen maps
✔ Vector quantization and counter-propagation networks

Module 4: Advanced Architectures
✔ Radial Basis Function (RBF) networks
✔ Hopfield networks and Boltzmann machines
✔ Deep neural networks and autoencoders
✔ Convolutional Neural Networks (CNNs)
✔ Recurrent Neural Networks (RNNs)
✔ Advanced Sequence Models
✔ Transfer Learning
✔ Generative Adversarial Networks (GANs)
✔ Autoencoders
✔ Intro to Keras & TensorFlow

Module 5: Training and Optimization
✔ Gradient descent and variants (SGD, Adam, RMSprop)
✔ Loss functions and regularization
✔ Overfitting and generalization
✔ Hyperparameter tuning and cross-validation

Module 6: Applications and Case Studies
✔ Pattern recognition and image classification
✔ Time-series forecasting
✔ Outlier Treatment
✔ Control systems and robotics
✔ Natural language processing and speech recognition

Module 7: Lab & Project Work
✔ Implementing perceptron and backpropagation in Python/Matlab
✔ Training multi-layer networks on benchmark datasets
✔ Designing RBF and recurrent networks for sequence data
✔ Capstone project: applying ANN to a real-world problem

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

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.