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 Newtownabbey
- Mobile App Develpment Courses in Newtownabbey
- Website Design Courses in Newtownabbey
- Networking and Security Courses in Newtownabbey
- Digital Marketing (SEO) Courses in Newtownabbey
- Graphics Training Courses in Newtownabbey
- Cloud Computing Courses in Newtownabbey
- Mean Stack Development Courses in Newtownabbey
- Python Full Packages Courses in Newtownabbey
- Animation & Video Editing Courses in Newtownabbey
- Mern Stack Development Courses in Newtownabbey
Course Highlights
Featured Courses
One of the key benefits of employing deep learning is its capacity to perform feature engineering on its own.
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 models in the real world could be used for driverless cars, money filtration, virtual assistants, facial recognition, and other applications.
Deep learning is a subset of machine learning (ML), which is essentially a three-layer neural network. This deep learning course in Newtownabbey is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning. Python is the language of deep learning.
Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video.
. Deep learning has become increasingly significant for commercial decision-making since it is very adept at processing such forms of data. Every day, businesses collect massive volumes of data and analyze it to get actionable business insights.
