Extracting patterns from large volumes of data can be a difficult task to achieve. But deep learning makes it very easy. Which is why deep learning is increasingly being adapted in every organizations, So, start your deep learning at our Deep Learning Online Training Institute which will expose you to the Deep Learning Online Course, where you will learn all about the new and rare trends in Deep Learning. So, join our Deep Learning Online Training with certification & placements to enjoy the privilege of our institute.
Deep Learning Online Training
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DURATION
1.5 Months
Mode
Live Online / Offline
EMI
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What this Course Includes?
- Technology Training
- Aptitude Training
- Learn to Code (Codeathon)
- Real Time Projects
- Learn to Crack Interviews
- Panel Mock Interview
- Unlimited Interviews
- Life Long Placement Support
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Course Syllabus
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Breakdown of Deep Learning Online Training Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
April 2025
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
April 2025
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 Online Training
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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 Learning Deep Learning Online Training
Download Syllabus
Our Deep Learning Online Training is your best choice to learn from our new and updated syllabus, which includes trending topics, that was curated by our experts in the IT industry, that makes this syllabus a reliable one to learn. Some of the topics in the syllabus are briefly discussed below:
- The syllabus begins with fundamental topics like, What is neural network, Gradient Descent, Perceptron etc.
- The syllabus then moves a little deeper into deep learning through topics like, TensorFlow Basics, Activation Functions, Word Representation using word2vec etc.
- The syllabus then moves to advanced topics like, Popular CNN Model Architectures, Recurrent NEural Network etc.
Reason to choose SLA for Deep Learning Online Training
- SLA stands out as the Exclusive Authorized Training and Testing partner in Tamil Nadu for leading tech giants including IBM, Microsoft, Cisco, Adobe, Autodesk, Meta, Apple, Tally, PMI, Unity, Intuit, IC3, ITS, ESB, and CSB ensuring globally recognized certification.
- Learn directly from a diverse team of 100+ real-time developers as trainers providing practical, hands-on experience.
- Instructor led Online and Offline Training. No recorded sessions.
- Gain practical Technology Training through Real-Time Projects.
- Best state of the art Infrastructure.
- Develop essential Aptitude, Communication skills, Soft skills, and Interview techniques alongside Technical Training.
- In addition to Monday to Friday Technical Training, Saturday sessions are arranged for Interview based assessments and exclusive doubt clarification.
- Engage in Codeathon events for live project experiences, gaining exposure to real-world IT environments.
- Placement Training on Resume building, LinkedIn profile creation and creating GitHub project Portfolios to become Job ready.
- Attend insightful Guest Lectures by IT industry experts, enriching your understanding of the field.
- Panel Mock Interviews
- Enjoy genuine placement support at no cost. No backdoor jobs at SLA.
- Unlimited Interview opportunities until you get placed.
- 1000+ hiring partners.
- Enjoy Lifelong placement support at no cost.
- SLA is the only training company having distinguished placement reviews on Google ensuring credibility and reliability.
- Enjoy affordable fees with 0% EMI options making quality training affordable to all.
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Highlights of The Deep Learning Online Training
What is Deep Learning?
Deep learning, a branch of machine learning, employs multi-layered artificial neural networks to discern patterns from vast datasets, mirroring the human brain’s processing mechanism. Through layers of interconnected neurons, deep learning algorithms can autonomously learn data features and complex hierarchies, facilitating tasks like image recognition, speech analysis, and decision-making. Its effectiveness spans across domains like computer vision, speech recognition, and healthcare, showcasing notable achievements.
What are the reasons for learning Deep Learning?
The following are the reasons for learning Deep Learning:
- Advanced Problem Solving: Deep learning gives you powerful tools to solve complicated problems in areas like recognizing images and speech, understanding natural language, and building autonomous systems.
- Cutting-Edge Technology: Deep learning is a leading area of research in artificial intelligence, offering exciting opportunities to be part of a field that is constantly evolving.
- Career Opportunities: Learning deep learning opens doors to many job options in industries such as technology, healthcare, finance, and more, where there’s a high demand for AI skills
What are the prerequisites for learning Deep Learning Online Training?
SLA does not demand any prerequisites for any courses as all the courses cover topics from fundamental to advanced level. However having a basic knowledge on these below topics can be beneficial in learning Deep Learning easily:
- Programming Skills: You need to be good at using programming languages like Python to create deep learning programs and work with popular libraries like TensorFlow and PyTorch.
- Mathematics: It’s important to understand math subjects like algebra, calculus, and probability because they help you understand the math behind deep learning.
- Machine Learning Basics: Knowing about machine learning concepts and types, such as supervised and unsupervised learning, as well as neural networks, gives you a good starting point for deep learning.
Our Deep Learning Course is suitable for:
- Students
- Job Seekers
- Freshers
- IT professionals aiming to enhance their skills
- Professionals seeking career change
- Enthusiastic programmers
What are the course fees and duration?
The fees for our Deep Learning Course in Chennai depend on the program level (basic, intermediate, or advanced) and the course format (online or in-person). On average, the Deep Learning Course Fees in Chennai comes around 25,000 INR for a duration of 1.5 Months, inclusive of international certification. For precise and up-to-date details on fees, duration, and certification, kindly contact our Best Deep Learning Training Institute in Chennai directly.
What are some of the jobs related to Deep Learning?
The following are some of the jobs related to Deep Learning:
- Data Scientist
- Machine Learning Engineer
- Deep Learning Researcher
- Computer Vision Engineer
What is the salary range for the position of Data Scientist?
The Data Scientist freshers salary typically with less than 2 years of experience earn approximately ₹8-9 lakhs annually. For a mid-career Data Scientist with around 4 years of experience, the average annual salary is around ₹14-15 lakhs. An experienced Data Scientist with more than 7 years of experience can anticipate an average yearly salary of around ₹19-20 lakhs. Visit SLA for more courses.
List a few real time Deep Learning applications.
Here are several real time Deep Learning applications:
- Real-Time Object Detection
- Speech Recognition System
- Anomaly Detection in IoT Data
- Real time Gesture Recognition
Who are our Trainers for Deep Learning Online Training?
Our Mentors are from Top Companies like:
The following are our trainer’s profile for the Deep Learning Online Training:
- We Deep Learning Trainer with over 6 years of industrial experience specializing in deep learning.
- They are skilled in delivering comprehensive lectures, workshops, and practical exercises to teach artificial intelligence principles.
- They are proficient with popular deep learning frameworks like PyTorch, TensorFlow, and Keras, and well-acquainted with big data technologies such as Apache Spark, Cassandra, and Kafka.
- They are capable of tailoring training modules to suit individual learner requirements.
- They possess excellent interpersonal and communication skills, adept at simplifying complex concepts.
- They are passionate about sharing knowledge on artificial intelligence and deep learning applications.
- They are proficient in scripting and animating Deep Learning training materials for courses in Chennai.
- Committed to ensuring students acquire in-depth understanding of artificial intelligence, Machine Learning, and Deep Learning.
- Highly competent in assisting students in crafting customized resumes tailored to industrial standards.
- Motivated to facilitate student placements by providing expert guidance and interview preparation support.
Want to Speak to our Trainer about Deep Learning Online Training?Request a Free Callback
What Modes of Training are available for Deep Learning Online Training?
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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Project Practices for Deep Learning Online Training
Real-Time Quality Inspection in Manufacturing
Develop a deep learning model for real-time quality inspection of manufactured products on production lines
Continuous Gesture-Based Control
Create a deep learning system enabling continuous control of devices or applications
Live Traffic Sign Recognition
Build a deep learning model that identifies and interprets traffic signs in real-time from video feeds
Continuous Handwriting Recognition
Develop a deep learning system that recognizes and transcribes handwritten text in real-time from video feeds
Live Sign Language Recognition
Create a deep learning model for recognizing and translating sign language gestures in real-time video
Real-Time Video Captioning
Develop a deep learning system that generates instant captions for live video streams
Continuous Heart Rate Monitoring from Video
Build a deep learning model capable of extracting heart rate data in real-time
Live Object Tracking in Sports Analysis:
Develop a deep learning algorithm that tracks objects or players in real-time sports videos, assisting coaches and analysts
Real-Time Driver Drowsiness Detection
Create a deep learning system that identifies signs of driver drowsiness in live video footage
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See More ReviewsPlacement Support for a Deep Learning Online Training
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Free 100% Placement Support
Aptitude Training
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Interview Skills
from Day 1
Softskills Training
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FAQs for
Deep Learning Online Training
Is SLA equipped enough to conduct online classes?
1.
Yes, SLA is completely equipped with resources like, SMART classroom, computers and related technologies, to conduct online classes.
Does SLA support EMI?
2.
SLA supports EMI, with 0% interest.
How many branches does SLA have?
3.
SLA has two branches currently, one is in Navalur, OMR and another is in K.K. Nagar.
What is the unique feature of SLA’s OMR branch?
4.
SLA’s OMR branch is located among OMR’s IT hub, which gives ample opportunity for students in internship and placement.
What type of payment methods does SLA support?
5.
SLA’s payment methods includes cash, cheque, cards, EMIs and UPIs.
Explain the vanishing gradient problem in deep learning, and how can it be mitigated?
6.
The vanishing gradient problem happens when gradients in deep neural networks become very small during training, causing slow convergence. Techniques like using different activation functions (e.g., ReLU), careful weight initialization, or methods like batch normalization can help mitigate this issue.
Explain transfer learning in deep learning, and when is it useful?
7.
Transfer learning means using pre-trained models from one task to solve a related task with limited labeled data. It’s handy when you have a small dataset for your target task but a large one for a related task, letting you transfer knowledge and improve performance.
What are regularization techniques in deep learning, and how do they prevent overfitting?
8.
Regularization techniques such as L1 and L2 regularization, dropout, and early stopping are used to prevent overfitting in deep learning models. They introduce constraints on the model’s parameters or training process, reducing its capacity and preventing it from fitting noise in the training data, thus improving generalization performance.
What are hyperparameters in deep learning, and how do they affect model performance?
9.
Hyperparameters are parameters set before training, controlling aspects like learning rate, batch size, and network architecture. They significantly impact model performance, as choosing appropriate values can lead to faster convergence, better generalization, and improved overall performance.
What is the difference between supervised, unsupervised, and semi-supervised learning in deep learning?
10.
Supervised learning learns from labeled input-output pairs, predicting outputs given new inputs. Unsupervised learning discovers patterns and structure from unlabeled data, while semi-supervised learning combines both labeled and unlabeled data to enhance performance, especially when labeled data is scarce.
Additional Information for
Deep Learning Online Training
Our Deep Learning Online Training has the best curriculum among other IT institutes ever. Our institute is located in the hub of IT companies, which creates abundance of opportunities for candidates. Our Deep Learning course syllabus will teach you topics that no other institute will teach. Enroll in our Deep Learning training to explore some innovative Top project ideas for the Deep Learning.
1.
Current Trends in Deep Learning
- Self-Supervised Learning: Self-supervised learning methods teach models from data itself without needing clear labels, allowing training on large amounts of unlabeled data, resulting in better performance on related tasks.
- Transformers and Attention Mechanisms: Transformers, like BERT and GPT, excel in natural language tasks, while attention mechanisms, central to these models, are now applied to areas outside of language processing, such as computer vision and reinforcement learning.
- Generative Models: Generative models, including GANs and VAEs, progress continually, facilitating tasks like image creation, style transformation, and data enhancement, with applications in diverse fields like art and data synthesis.
- Multimodal Learning: As data in various forms (text, images, audio) becomes more available, there’s a rising interest in multimodal learning, enabling models to learn from different types of data simultaneously, driving advancements in tasks like image captioning, video understanding, and cross-modal retrieval.
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