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 Seattle
- Mobile App Develpment Courses in Seattle
- Website Design Courses in Seattle
- Networking and Security Courses in Seattle
- Digital Marketing (SEO) Courses in Seattle
- Graphics Training Courses in Seattle
- Cloud Computing Courses in Seattle
- Mean Stack Development Courses in Seattle
- Python Full Packages Courses in Seattle
- Animation & Video Editing Courses in Seattle
- Mern Stack Development Courses in Seattle
Course Highlights
Featured Courses
Deep learning algorithms are employed in a variety of industries, from automated driving to medical gadgets. This deep learning course in Seattle is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning. Deep learning models in the real world could be used for driverless cars, money filtration, virtual assistants, facial recognition, and other applications. Every day, businesses collect massive volumes of data and analyze it to get actionable business insights.
Deep learning is a subset of machine learning (ML), which is essentially a three-layer neural network. Students receive practical experience by working on real-world projects.
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. Companies like to hire people who have completed this deep learning course.
Because there is a strong demand for skilled deep learning engineers in various fields, this deep learning course in Seattle certification training is ideal for intermediate and advanced experts. Deep learning has become increasingly significant for commercial decision-making since it is very adept at processing such forms of data.
