BUILDING NEURAL NETWORKS

This workshop on building neural networks from scratch provides a comprehensive introduction to neural networks, a fundamental component of artificial intelligence. Participants will learn the significance of neural networks in solving complex problems across various domains such as image recognition, natural language processing, and predictive analytics. By mastering the foundational concepts and practical skills, attendees will gain the ability to design and implement neural networks, enhancing their capability to contribute to advanced AI projects and innovations.

WHAT YOU WILL LEARN?

Neural Network Architecture: Deep dive into the structure of neural networks, including different types of layers (input, hidden, and output) and the role of neurons.

 

Activation Functions: Explore various activation functions like sigmoid, tanh, and ReLU, and understand their impact on the network’s performance.

Forward and Backward Propagation: Learn the mathematical foundations and implementation of forward propagation for predicting outputs and backward propagation for updating weights.

Weight Initialization and Optimization: Techniques for initializing weights and biases to avoid issues like vanishing/exploding gradients. Study optimization algorithms such as SGD, Adam, and RMSprop.
 
Regularization Techniques: Understand methods like dropout, L1/L2 regularization to prevent overfitting and improve model generalization.
 
Practical Implementation: Hands-on coding to build neural networks using Python, TensorFlow, and Keras. Implement various neural network models and analyze their performance.

 

WHY ATTEND?

Gain a strong foundation in neural network theory and practice.

Enhance your problem-solving skills by learning to build and optimize neural networks.

Apply knowledge to real-world projects and advance your career in AI and machine learning.

Network with industry experts and peers, fostering professional growth and collaboration.

Expert Instruction WITH PRACTICAL SKILLS

ABOUT OUR WORKSHOP

Interactive Sessions: Engage in lively discussions and real-life scenarios that illustrate the importance of staying vigilant and proactive.

Resource Kit: All participants will receive a resource kit including checklists, tips, and tools to help reinforce the practices taught during the workshop

Q&A Sessions: Opportunities for participants to ask questions and clarify doubts.

Real-World Scenarios: Case studies and examples to illustrate key points.

Join our world class community: Opportunity to join our thriving community,  to get information in the advancements of neural networks models and how to stay aware and informed

Certification:  On completion get a certificate for participation and completion of the workshop.  Be proud of your accomplishment in learning a new age , highly sought after skill

Cost:
Rs. 8,000/- + 18% GST only per participant 

Duration : 16 hours  

Limited Spaces! Register Soon

WHO SHOULD ATTEND

This workshop is for 

Aspiring data scientists and AI enthusiasts.
Software engineers and developers interested in machine learning.
Students and researchers in computer science and related fields.
> Working IT 
Professionals looking to expand their skill set in artificial intelligence and deep learning.

Pre-requisites for the Course

Basic Programming Knowledge: Familiarity with Python programming is essential, as it will be used for implementing neural networks.

Introduction to Machine Learning: Prior exposure to basic machine learning concepts will be beneficial but not mandatory.

Analytical Skills: Ability to analyze and interpret data to troubleshoot and optimize neural network models.

Curiosity and Enthusiasm: A keen interest in artificial intelligence and a willingness to learn and explore new technologies.

CONTACT

Call > +91 73838-08881

Mail > connect@xworks.live

Register Today > Click here

FREQUENTLY ASKED QUESTIONS

Every Weekend – Friday, Saturday and Sunday

Friday > 7PM to 10 PM
Saturday > 10 AM to 5 PM (with a 30 min lunch break)
Sunday > 10 AM to 5 PM (with a 30 min lunch break)

Basic Programming Knowledge: Familiarity with Python programming is essential, as it will be used for implementing neural networks.

Mathematical Foundations: Understanding of basic linear algebra, calculus, and probability is recommended to grasp the underlying principles of neural networks.

Introduction to Machine Learning: Prior exposure to basic machine learning concepts will be beneficial but not mandatory.

Analytical Skills: Ability to analyze and interpret data to troubleshoot and optimize neural network models.

Curiosity and Enthusiasm: A keen interest in artificial intelligence and a willingness to learn and explore new technologies.

LIVE AND PRACTICAL. IT WILL NOT BE RECORDED

Unfortunately NO. We don’t have a refund policy as of now

Dont Worry. Please write to connect@xworks.live and we will resolve the issue, at the earliest

Please mail us a connect@xworks.live for any questions, queries or information. We will get back to you at the earliest

It will be conducted XWORKS – which is a new age skilling organization specializing in Technology and Life Skills. The trainer will be an highly experienced professional from the technology industry