Best Deep Learning Training in Chennai

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Softlogic Course Duration


1.5 Months

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Live Online / Offline

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Join our Deep Learning Training in Chennai for a transformative learning experience in AI, Machine Learning, and Data Science. Softlogic’s expert-designed curriculum covers neural networks, natural language processing, and more. Prepare for a thriving career with our Deep Learning Course in Chennai.

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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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Monday (Monday - Friday)

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Saturday (Saturday - Sunday)

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Wednesday (Monday - Friday)

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Friday (Monday - Friday)

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Modes Of 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

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Online Live 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

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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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Want to Master your Skills in Deep Learning ?

Course Highlights


Deep Learning, an advanced AI technique, enables computers to process data akin to the human brain. These models excel at recognizing intricate patterns in images, text, sounds, and various data types, leading to accurate insights and predictions. By leveraging deep learning, tasks demanding human-like intelligence, such as image description and sound-to-text transcription, can be automated effectively.

Learning Deep Learning presents compelling reasons for individuals to explore this transformative field. Some of these reasons include:

  • Transformational Technology: Deep Learning is revolutionizing industries with advanced AI applications.
  • Career Opportunities: Deep Learning expertise opens diverse and lucrative AI-related jobs.
  • Complex Pattern Recognition: Accurate predictions through intricate pattern recognition.
  • Task Automation: Automating tasks requiring human intelligence.
  • Data-Driven Decisions: Informed decisions through data analysis.
  • Real-World Applications: Widely used in healthcare, finance, autonomous vehicles, etc.

The prerequisites for learning Deep Learning include proficiency in Python and Machine Learning. Enrolling in our Deep Learning Training in Chennai equips you with essential knowledge to excel in this field. Our comprehensive package of courses covers these foundational topics, ensuring you have the necessary foundation to thrive in Deep Learning.

Our Deep Learning Course is suitable for:

  • Students
  • Professionals seeking a career change
  • IT professionals aiming to enhance their skills
  • Enthusiastic programmers
  • Job Seekers

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 Deep Learning Training Institute in Chennai directly.

Various industries offer a wide array of job roles related to Deep Learning. Some key positions include:

  • Deep Learning Engineer
  • Natural Language Processing (NLP) Engineer
  • Autonomous Vehicle Engineer
  • Healthcare AI Specialist
  • Robotics Engineer
  • Machine Learning Engineer
  • Image Recognition: Identifying objects and scenes in photos and videos.
  • Natural Language Processing (NLP): Powering language analysis and translation.
  • Virtual Reality (VR): Enhancing real-time user experiences in virtual environments using Deep Learning.
  • Medical Diagnostics: Assisting doctors in real-time diagnosis of medical conditions using Deep Learning models.
  • Autonomous Drones: Enabling drones to make real-time decisions for navigation and data collection.

Softlogic offers a comprehensive and industry-focused Deep Learning Course in Chennai, equipping individuals with the skills and expertise required to excel in the field of deep learning. By choosing Softlogic, you can ensure top-notch training with the following benefits:

  • 100+ Real time trainers
  • Fully hands-on training
  • Technology Training
  • Aptitude Training
  • Learn to Code
  • Real Time Projects
  • Learn to Crack Interviews
  • Panel Mock Interviews
  • Unlimited Interviews
  • Life Long Placement Support
  • 60+ hours course duration
  • Industry expert faculties
  • Completed 1500+ batches
  • 100% job oriented training
  • Certification Guidance
  • Own course materials
  • Resume editing
  • Affordable fees structure

Deep Learning Syllabus

Download Syllabus

Our Deep Learning Training in Chennai provides a comprehensive learning experience, encompassing both fundamental principles and advanced approaches in this transformative field. Throughout the course, you will engage with essential topics, gaining a deep understanding of the principles that drive Deep Learning technology.

  • 1. Introduction to deep learning and its real time benefits
  • 2. Why deep learning is important
  • 3. Introduction to neural networks
  • 4. How to build a neural network building block
  • 5. Learning rules
  • 6. Types of neural networks
    • a. Artificial neural networks
    • b. Multi layer perceptron
    • c. Convolutional neural networks
    • d. Recurrent neural networks
    • e. Feed forward networks
  • 1. In depth understanding of manifold learning
  • 2. Data translation from 2D
  • 3. Data rotation & re-orientation
    • a. Using MDS
    • b. Using LLE
    • c. Using ISOMAP
  • 4. 3D projection using mplot3d with the help of MDS
  • 5. Handling non linear embeddings when MDS fails
  • 6. Non linear embedding using LLE
  • 7. Discussion of Manifold over PCA
  • 1. Introduction to OpenCV
  • 2. Setting up OpenCV with anaconda
  • 3. Read and display, save an image
  • 4. Getting the shape and dimensions of an image
  • 5. Working with image processing
    • a. Resizing an image
    • b. Combining multiple images
    • c. Up scaling and downscaling images
    • d. Reading image with transparency channel
  • 6. Edge detection in an image
  • 7. Finding Gaussian blur in an image
  • 8. Detecting contour in an image
  • 9. Recognize optical characters in an image
  • 10. Shape detection in an image
  • 11. Face detection in an image & video
  • 12. Image classification and segmentation
    • a. Creating an image classification using keras
    • b. Transfer learning for image classification
    • c. Kmeans clustering for image segmentation
    • d. YOLO object detection using PyTorch and cv2
  • 1. Architecture of keras
    • a. Model
    • b. Layers
    • c. Modules
  • 2. Passing through modules
    • a. Initializers
    • b. Regularizers
    • c. Constraints
    • d. Activations
    • e. Losses
    • f. Metrics
    • g. Optimizers
    • h. Callback
  • 3. Working with backend and utils module
    • I. Backend()
    • II. Epsilon()
    • III. Floatx()
    • IV. Get_uid()
    • V. Reset_uids()
    • VI. Placeholder()
    • VII. Dot()
    • VIII. Batch_dot()
    • IX. Variable()
    • X. To_dense()
    • XI. Hdf5matrix
    • XII. Print_summary()
    • XIII. To_categorical()
  • 4. Creating a customized layer
    • a. Import module
    • b. Define a layer
    • c. Initializing a layer
    • d. Implementing build
    • e. Implement call method
    • f. Implement compute_output_shape
    • g. Use the customized layer
  • 5. building model
  • a. Sequential API model
    • I. Adding layers
    • II. Access the model
    • III. Serialize the model
    • IV. Summarizing model
    • V. Train and predict the model
  • b. Functional API
    • I. Importing input layer
    • II. Specify dimension shape
    • III. Add dense layer
    • IV. Defining model
    • V. Complete model and run

Trainer's Profile


Our Mentors are from Top Companies like

  • Experienced Deep Learning Trainer with 6+ years of industrial expertise in deep learning.
  • They are skilled in teaching principles of artificial intelligence through comprehensive lectures, workshops, and hands-on exercises.
  • They are familiar with popular deep learning frameworks such as PyTorch, TensorFlow, and Keras and are well-versed in big data technologies, such as Apache Spark, Cassandra, and Kafka.
  • They are capable of creating customized training modules to meet the individual needs of learners. They hold outstanding interpersonal and communication skills, with a knack for distilling complex information into simpler terms.
  • They are passionate about disseminating knowledge of artificial intelligence & deep learning and its various applications.
  • They are proficient in script writing and animation of Deep Learning training materials for Deep Learning course in Chennai.
  • They are deeply committed to guiding the learners to acquire in-depth knowledge of artificial intelligence, Machine Learning, and Deep Learning
  • Our trainers are highly competent in helping students build their customized resumes to meet industrial requirements.
  • They are motivated towards making the students get placed by helping them with interview preparation with their expert guidance.

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Project Practices

Anomaly Detection
Anomaly Detection
Develop a deep learning model to identify outliers or anomalies, detecting fraud and unusual behavior.
Image Captioning
Image Captioning
Create a model that generates descriptive captions for images, aiding in image indexing and assistive technologies.
Video Object Segmentation
Video Object Segmentation
Develop a model to separate objects in videos for video editing and augmented reality applications.
Video Action Recognition
Video Action Recognition
Develop a model to classify actions or activities in videos, including sports and gestures.
Autonomous Driving
Autonomous Driving
Build a deep learning model for vehicles to perceive, detect objects, and make driving decisions.
Gan Image Generation
GAN Image Generation
Develop a GAN model for creating realistic images, including faces, art, and deep fake videos.
Document Summarization
Develop a deep learning model to create concise summaries of large documents or articles.
Document Summarization
Image Style Transfer
Image Style Transfer
Build a model to transfer the style of one image onto another, enabling artistic transformations and filters.
Speech Emotion Recognition
Create a model to classify emotions in spoken language for call centers and mood tracking.
Speech Emotion Recognition

Learn with Real Time Projects

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Deep learning systems typically include layers of algorithms including an input layer, hidden layers, output layer, weights and biases, activation functions, and cost function.

The most popular deep learning models include convolutional neural networks, recurrent neural networks, deep belief networks, restricted Boltzmann machines, and autoencoders.

Deep learning enables image understanding by recognizing patterns in the images and understanding how they are related.

Deep learning for natural language processing is beneficial as it can uncover patterns such as sentiment Analysis, language inference, word embeddings, etc.

Deep learning is a type of machine learning that uses networks of layers of algorithms to process and generate data, while machine learning algorithms are less complex and appropriate for simpler tasks.

Softlogic Systems offers courses in Deep Learning that include interactive sessions, hands-on projects, and exercises, along with opportunities to discuss and practice the concepts learned through readings, assignments, and tests.

With experienced instructors, comprehensive courses, and excellent support offered through the company’s training center in Chennai, Softlogic Systems offers the best deep learning training in Chennai.

Students who have a good grasp of computer science and fundamentals of mathematical concepts, understand the basics of machine learning, and are eager to learn and innovate are best suited for deep learning training.

Graduates of deep learning training can have roles such as data analyst, machine learning engineer, research scientist, deep learning engineer, data scientist, and AI/ML engineer.

Softlogic Systems provides deep learning courses that support technologies such as TensorFlow, Keras, Scikit-learn, PyTorch, and Spark.

Additional Information


Deep learning is distinguished amongst the most popular neural network dialects applied nowadays. This is due to its straightforward image structure and universally useful neural programming dialect.

Novice deep learning engineers have several options as far as neural programming is concerned. A career in deep learning also requires skills like linear regression, softmax, RELU, Tensorflow etc,

If you are just beginning to learn deep learning then you will find Deep Learning Training in Chennai from Sofllogic very useful. Our deep learning program is farmed in such a way that you won’t be bored down by unnecessary programming or mathematical complexities. You will be using deep learning techniques from very start of this training You will develop your knowledge from the scratch.

If you already possess experience with deep learning, you will see that this course is refreshing and practical, You will be proficient in some of the most advanced deep learning algorithms and techniques and you will gain hands-on experience with real-world business challenges.

Our course is tailor-made according to your level of expertise. You can contact our educational counselors to know whether deep learning is suitable to you and how it can can take your career to the next level .

  • Software Engineer
  • Neuroinformatician
  • Data Scientist
  • Bioinformatician
  • Research Analyst
  • Data Engineer
  • Data Analyst
  • Full Stack Web Developer for Deep Learning
  • Image Recognition
  • Software Developer
  • Research Scientist
  • Research Fellow
  • Instructor for Deep Learning
  • Applied Scientist
  • Lead Manager – Deep Learning
  • Natural Language Process Engineer

There is always the need for proficient candidates and graduates. Jobs in Artificial Intelligence will quickly increase in the future. Soon there will be lot of companies in Chennai who will offer relevant Artificial Intelligence solutions including Deep Learning. If you opt for Artificial Intelligence as a career option and Sofltogic as your training institute then your future would be very bright.

TensorFlow is creating ripples in the world of deep learning. It has become the actual platform for big numeric computations. It is primarily applied to form some simple machine learning models through Python interface. Tensorflow is used for numerical computation for mathematical expressions with the help of data flow graphs. It is formed by Google and is customized for machine learning to form most feasible solutions.

Want to Master your skills in Deep Learning ?