Convolutional Neural Networks (CNN) Training in Gurgaon, Delhi

Convolutional Neural Networks (CNN)

The Ultimate Training for Convolutional Neural Networks (CNN)

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

Overview
Curriculum
Pre-requisite
Review

A CNN is the top choice for image classification and more generally, computer vision. Examples of this are medical image analysis, image recognition, face recognition, generating and enhancing images, and full-motion video analysis.

CNNs are one of the top technologies powering self-driving cars. In this course, you`ll follow hands-on examples to build a CNN, train it using a custom scale tier on Machine Learning Engine, and visualize its performance.

This course will satisfy your curiosity by explaining the features of neural networks in processing sequences such as text, sound, videos and images.

The course introduces the fundamental operations and parameters of convolution. The multiple approaches for understanding and visualizing CNNs are discussed. The concept of understanding and processing tasks for face recognition and verification are disclosed. The various functions of CNN architectures for extending the support beyond residual neural networks are described.

This is an enlightening course. Why Wait? Register today, and become dominant in various computer vision tasks using CNNs.

Target Audience:-
:- People pursuing a career in Data Science
:- Anyone curious to master CNN from Beginner level in short span of time
:- Data Analysts and Engineers
:- University Students
:- Scientists and Researchers

Learning Outcomes:-
:- Understand the architecture and mechanics of CNNs and Deep Learning
:- Learn usage of Keras and Tensorflow libraries
:- Understand the business scenarios where Convolution Neural Networks (CNN) is applicable
:- Building and Train an Convolution Neural Networks (CNN)
:- Deploy AI solutions using CNNs in production environments

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 Artificial Neural Networks (ANN).
:- You have a genuine interest in CNN.

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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 CNNs
✔ What is a CNN and why it's used in computer vision
✔ Biological inspiration and comparison with traditional neural networks
✔ Applications of CNNs

Module 2: CNN Architecture Fundamentals
✔ Convolution operation and filters
✔ Striding, padding, and receptive fields
✔ Pooling layers: max pooling, average pooling
✔ Activation functions
✔ Fully connected layers and softmax
✔ Backpropagation in CNNs
✔ Loss Functions
✔ Optimization Algorithms

Module 3: Popular CNN Models
✔ LeNet, AlexNet, VGGNet
✔ GoogleNet (Inception), ResNet, MobileNet
✔ DenseNet, Highway Networks, Fractal Networks
✔ Visualizing and understanding CNN layers

Module 4: Training Deep CNNs
✔ Loss functions and optimization (SGD, Adam)
✔ Handling vanishing gradients and overfitting
✔ Dropout, batch normalization, weight initialization
✔ Hyperparameter tuning and regularization

Module 5: Advanced Topics
✔ Transfer learning and fine-tuning
✔ Greedy layer-wise pretraining
✔ Siamese networks and multi-instance learning (MIL)
✔ 1D CNNs for sequence data

Module 6: Deployment and Applications
✔ Real-world case studies: autonomous driving, healthcare, retail
✔ Exporting models (ONNX, TensorFlow Lite)
✔ Building web/mobile apps with CNNs
✔ Ethical considerations in computer vision

Module 7: Practical Implementation and Computer Vision Tasks
✔ Data Augmentation in Practice
✔ Model Deployment Basics
✔ Object Localization
✔ Introduction to Object Detection
✔ Image Segmentation
✔ CNN Visualization

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.