Deep Learning Training by Experts
Our Training Process
Deep Learning - Syllabus, Fees & Duration
MODULE 1
- Introduction to Tensor Flow
- Computational Graph
- Key highlights
- Creating a Graph
- Regression example
- Gradient Descent
- TensorBoard
- Modularity
- Sharing Variables
- Keras Perceptrons
- What is a Perceptron?
- XOR Gate
MODULE 2
- Activation Functions
- Sigmoid
- ReLU
- Hyperbolic Fns, Softmax Artificial Neural Networks
- Introduction
- Perceptron Training Rule
- Gradient Descent Rule
MODULE 3
- Gradient Descent and Backpropagation
- Gradient Descent
- Stochastic Gradient Descent
- Backpropagation
- Some problems in ANN Optimization and Regularization
- Overfitting and Capacity
- Cross-Validation
- Feature Selection
- Regularization
- Hyperparameters
MODULE 4
- Introduction to Convolutional Neural Networks
- Introduction to CNNs
- Kernel filter
- Principles behind CNNs
- Multiple Filters
- CNN applications Introduction to Recurrent Neural Networks
- Introduction to RNNs
- Unfolded RNNs
- Seq2Seq RNNs
- LSTM
- RNN applications
MODULE 5
- Deep learning applications
- Image Processing
- Natural Language Processing
- Speech Recognition
- Video Analytics
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 40 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsNEAR.in
- Training/Internship Certificate
- Web Development Courses in Doha
- Mobile App Develpment Courses in Doha
- Website Design Courses in Doha
- Networking and Security Courses in Doha
- Digital Marketing (SEO) Courses in Doha
- Graphics Training Courses in Doha
- Cloud Computing Courses in Doha
- Mean Stack Development Courses in Doha
- Python Full Packages Courses in Doha
- Animation & Video Editing Courses in Doha
- Mern Stack Development Courses in Doha
Course Highlights
Featured Courses
Deep learning models in the real world could be used for driverless cars, money filtration, virtual assistants, facial recognition, and other applications.
. Companies like to hire people who have completed this deep learning course.
Deep learning is a subset of machine learning (ML), which is essentially a three-layer neural network. Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. Python is the language of deep learning.
Participants in the deep learning course should have a thorough understanding of the principles of programming, as well as a solid understanding of the fundamentals of statistics and mathematics, as well as a clear grip on the critical knowledge portions of machine learning. Deep learning teaches using botorganizeded anorganizedtured data. Deep learning algorithms are employed in a variety of industries, from automated driving to medical gadgets. Students receive practical experience by working on real-world projects.
