Join Our 100% Job-Guaranteed Deep Learning Course in OMR. We Provide Quality Deep Learning training with an affordable Cost in OMR. Our Deep Learning Syllabus covers the deep learning fundamentals, perceptrons, activation functions, convolutional neural networks (CNNs), recurrent neural networks (RNNs), natural language processing (NLP), and model deployment. At Softlogic Systems, you’ll earn globally recognized certifications, build real-time projects, and receive complete placement assistance to launch a successful career in your chosen field.
Deep Learning Training In Omr
4.70
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DURATION
1.5 Months
EMI
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Mode
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Course Syllabus
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Fees, Duration & Batch Timings for Deep Learning Course
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
June 2026
Week days
(Mon-Fri)
Online/Offline
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
Course Fee
June 2026
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Course Fee
Save up to 20% in your Course Fee on our Job Seeker Course Series
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Syllabus of Deep Learning Course
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Introduction to Neural Network
- what is neural network..?
- How neural networks works?
- Gradient descent
- Stochastic Gradient descent
- Perceptron
- Multilayer Perceptron
- BackPropagation
Building Deep learning Environment
- Overview of deep learning
- DL environment setup locally
- Installing Tensorflow
- Installing Keras
- Setting up a DL environment in the cloud
- AWS
- GCP
- Run Tensorflow program on AWS cloud plateform
Tenserfow Basics
- Placeholders in Tensorflow
- Defining placeholders
- Feeding placeholders with data
- Variables,
- Constant
- Computation graph
- Visualize graph with Tensor Board
Activation Functions
- What are activation functions?
- Sigmoid function
- Hyperbolic Tangent function
- ReLu -Rectified Linear units
- Softmax function
Training Neural Network for MNIST dataset
- Exploring the MNIST dataset
- Defining the hyperparameters
- Model definition
- Building the training loop
- Overfitting and Underfitting
- Building Inference
Word Representation Using word2vec
- Learning word vectors
- Loading all dependencies
- Preparing the text corpus
- defining our word2vec model
- Training the model
- Analyzing the model
- Visualizing the embedding space by plotting the model on tensorboard
Clasifying Images with Convolutional Neural Networks(CNN)
- Introduction to CNN
- Train a simple convolutional neural net
- Pooling layer in CNN
- Building ,training and evaluating our first CNN
- Model performance optimization
Popular CNN Model Architectures
- Introduction to Imagenet
- LeNet architecture
- AlexNet architecture
- VGGNet architecture
- ResNet architecture
Introduction to Recurrent Neural Networks(RNN)
- What are Recurrent Neural Networks (RNNs)?
- Understanding a Recurrent Neuron in Detail
- Long Short-Term Memory(LSTM)
- Back propagation Through Time(BPTT)
- Implementation of RNN in Keras
HandWritten Digits and letters Classification Using CNN
- Code Implementation
- Importing all of the dependencies
- Defining the hyperparameters
- Building a simple deep neural network
- Convolution in keras
- Pooling
- Dropout technique
- Data augmentation
Objectives of Deep Learning Training
The objectives of learning Deep Learning Training in OMR include
- Neural Networks Basics: Learn the essentials of neural networks for deep learning.
- Setting up Deep Learning: Create your deep learning setup for neural network projects.
- TensorFlow Introduction: Understand the basics of TensorFlow, a key tool for neural networks.
- Activation Functions: Explore how activation functions impact neural network performance.
- MNIST Dataset Training: Train a neural network to recognize handwritten digits in the MNIST dataset.
- Word Representation with word2vec: Use word2vec for representing words in natural language tasks.
- Image Classification with CNNs: Learn to classify images using Convolutional Neural Networks (CNNs).
Why Softlogic Systems is the Best Choice for Deep Learning Training – Learn, Practice, and Get Placed!
Online & Offline Training Options
Learn at your convenience with flexible classroom and live online training.
Learn from 100+ Real-Time Developers
Get trained by industry professionals with years of hands-on experience.
Hands-on Projects & Codeathons
Practice with real-time projects and coding challenges to build confidence.
0% EMI Fee Options
Pay your course fees flexibly with easy EMI plans at zero interest.
Resume & Interview Support
Get expert help with resume building, mock interviews, and soft skills.
Placement with Top IT Firms
Access placement opportunities with leading MNCs and IT companies.
1000+ Hiring Partners
Benefit from Softlogic’s strong recruiter network for faster job placement.
No Backdoor Jobs
We ensure only genuine placement opportunities with trusted companies.
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Highlights of Deep Learning Course
What is Deep Learning?
Deep learning uses artificial neural networks to recognize patterns and make decisions from large datasets, mimicking the brain’s structure. It’s applied in tasks like image and speech recognition, language understanding, and autonomous driving.
What are the reasons for learning Deep Learning?
Deep Learning offers many benefits:
- Career Opportunities: Skills are in high demand for AI, data science, and machine learning roles.
- Problem Solving: Can solve complex tasks like image recognition, speech understanding, and autonomous driving.
- Innovation: Drives innovation in industries and is a key focus of AI research.
Technology Insight: Gives insights into the latest tech advancements and their real-world applications.
What are the prerequisites for learning Deep Learning?
To excel in Deep Learning, you should have a strong foundation in Python and Machine Learning. Our Deep Learning Training in OMR provides the essential knowledge needed for success in this field. Our courses cover these basics comprehensively, ensuring you’re well-prepared for Deep Learning.
Our Deep Learning Course is ideal for:
- Students
- Professionals looking to change careers
- IT professionals wanting to enhance their skills
- Enthusiastic programmers
- Job seekers
What are the course fees and duration?
The fees for our Deep Learning Course in OMR vary based on the program level (basic, intermediate, or advanced) and the course format (online or in-person). On average, the Deep Learning Course fees in OMR range from 25,000 INR for a duration of 1.5 months, inclusive of international certification. For precise details on fees, duration, and certification, please contact our Deep Learning Training Institute in OMR directly.
What are some job roles related to Deep Learning?
Some job roles related to Deep Learning include:
- Machine Learning Engineer: Develop machine learning models, including deep learning, to solve complex problems.
- Data Scientist: Use deep learning for data analysis and insights.
- AI Research Scientist: Conduct research and develop new deep learning algorithms.
- Computer Vision Engineer: Use deep learning for image recognition and object detection.
- NLP Engineer: Develop NLP applications using deep learning.
- Deep Learning Specialist: Focus on developing and implementing deep neural networks.
What is the salary range for Deep Learning?
A fresher Deep Learning Engineer, with less than three years of experience, earns an average salary of ₹9.1 Lakhs per year. A mid-career professional with 4-9 years of experience earns around ₹14.9 Lakhs per year, while an experienced Deep Learning Engineer with 10-20 years of experience earns an average of ₹22.1 Lakhs per year.
List a few Deep Learning real-time applications.
Here are a few real-time applications of Deep Learning:
- Healthcare: Deep Learning analyzes medical images, detects diseases, and suggests treatments.
- Finance: Deep Learning detects fraud, trades algorithmically, and manages risks.
- Autonomous Vehicles: Deep Learning helps vehicles detect objects, stay in lanes, and make decisions.
- Recommendation Systems: Deep Learning suggests products, movies, and content based on preferences.
- Robotics: Deep Learning helps robots manipulate objects, navigate, and interact with humans.
Boost Your Skills with Our Deep Learning Training Experts
Our Mentors are from Top Companies like:
- Our trainers for Deep Learning Training in OMR are experts in the field with a deep understanding of Deep Learning concepts and applications.
- They have extensive industry experience and have worked on real-world projects applying Deep Learning principles.
- They are proficient in Python programming, which is fundamental for Deep Learning.
- They have a strong grasp of machine learning principles and algorithms, crucial for effective Deep Learning model implementation.
- They are adept at explaining complex concepts clearly, facilitating easier learning for students.
- They are well-versed in popular Deep Learning frameworks like TensorFlow and PyTorch.
- They have a demonstrated track record of successful Deep Learning implementations, showcasing their expertise.
- They possess strong problem-solving skills, essential for addressing challenges in Deep Learning projects.
- They stay updated with the latest trends and advancements in Deep Learning.
- They are dedicated to providing comprehensive and practical training, ensuring students are well-equipped for success in the field.
Want to Speak to a Trainer about Deep Learning?Request a Free Callback
What Modes of Training are available for Deep Learning Course?
Offline / Classroom Training
A Personalized Learning Experience with Direct Trainer Engagement!
- Direct Interaction with the Trainer
- Clarify doubts then and there
- Airconditioned Premium Classrooms and Lab with all amenities
- Codeathon Practices
- Direct Aptitude Training
- Live Interview Skills Training
- Direct Panel Mock Interviews
- Campus Drives
- 100% Placement Support
Online Training
Instructor Led Live Training! Learn at the comfort of your home
- No Recorded Sessions
- Live Virtual Interaction with the Trainer
- Clarify doubts then and there virtually
- Live Virtual Interview Skills Training
- Live Virtual Aptitude Training
- Online Panel Mock Interviews
- 100% Placement Support
Corporate Training
Blended Delivery model (both Online and Offline as per Clients’ requirement)
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
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Certifications
Take your career to new heights with Softlogic's software training certifications.
Improve your abilities to get access to rewarding possibilities
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with Certifications
Get a certifications through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.
Hands-on Project Practices in Deep Learning Course
Financial Trading
Medical Image Segmentation
Fraud Detection
Virtual Assistant
Gesture Recognition
Video Surveillance
Anomaly Detection
Financial Forecasting
Autonomous Robotics
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FAQs
Why opt for SLA as your preferred Deep Learning Training Institute in OMR?
Choose SLA as your preferred Deep Learning Training Institute in OMR for its expert-led training, hands-on learning, guaranteed placement guidance, flexible scheduling, and personalized support. Our program guarantees your success in mastering Deep Learning.
Does SLA provide EMI options for students?
Yes, SLA offers EMI options for students with 0% interest to make the training more financially manageable.
Does SLA have any other branch?
SLA operates two branches, one in K.K. Nagar and the other in OMR Navalur, providing students with convenient access to their training centers.
What are the 4 pillars of deep learning?
Deep learning relies on four key components: Neural Networks, which mimic the brain’s structure; Deep Networks, which have many layers for complex learning; Convolutional Neural Networks (CNNs), specialized for grid data like images; and Recurrent Neural Networks (RNNs), designed for sequential data like text or speech.
Who is the father of deep learning?
Geoffrey Hinton is often referred to as the “Godfather of Deep Learning” for his pioneering work and contributions to the field.
Is deep learning easy to learn?
Deep learning can be challenging to learn due to its complex algorithms and mathematical concepts. However, with dedication and the right resources, it is possible to grasp the fundamentals and build proficiency over time.
How does the placement team at SLA support us?
The placement team at SLA enhances your job prospects by providing comprehensive support. Whether you’re a certified student looking to switch careers or entering the workforce for the first time, you’ll receive extensive assistance through our placement services. SLA offers the following premium services as part of our placement support:
- Resume building
- Career guidance and advising
- Interview practice sessions
- Career expos
What accreditation will I get once the course is completed?
Upon completion of SLA’s training, you will be awarded with globally recognized course completion certificates from SLA, renowned IBM certificates, and Codeathon certificates, validating your real-time project experience.
What are the different payment options available?
We accept all sort of major payment methods like cash, credit cards (Visa, Maestro, Master card), Netbanking, etc
I have more queries?
Please contact our course counselor by call or Whatsapp at +91 86818 84318. As an alternative, you can use our Website chat, Website form, or email us at [email protected]
Additional Information for
the Deep Learning Course
Future Perspective
Deep learning is set to transform technology. As it advances, deep learning models will become more sophisticated, impacting fields like healthcare, finance, and autonomous systems. These algorithms can learn from vast data sets, revolutionizing industries.
Scope
Deep learning’s scope is wide and expanding fast. With more data and computing power available, it’s used in image and speech recognition, natural language processing, and autonomous driving. Industries seek deep learning experts, making it a lucrative career.
Importance
Deep learning automates tasks and uncovers insights from data. It can find patterns humans might miss, boosting efficiency. It’s not just changing industries but also driving innovations that benefit society.
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