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 Muharraq
- Mobile App Develpment Courses in Muharraq
- Website Design Courses in Muharraq
- Networking and Security Courses in Muharraq
- Digital Marketing (SEO) Courses in Muharraq
- Graphics Training Courses in Muharraq
- Cloud Computing Courses in Muharraq
- Mean Stack Development Courses in Muharraq
- Python Full Packages Courses in Muharraq
- Animation & Video Editing Courses in Muharraq
- Mern Stack Development Courses in Muharraq
Course Highlights
Featured Courses
Deep learning teaches using botorganizeded anorganizedtured data.
Because there is a strong demand for skilled deep learning engineers in various fields, this deep learning course in Muharraq 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. Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. Deep learning is a type of learning that entails Specialization in Muharraq will assist you in learning the fundamental ideas of deep learning, as well as understanding the problems, repercussions, and capacities of deep learning, as well as allowing you to contribute to the advancement of cutting-edge technology.
The foundations of deep learning and neural networks are covered, as well as techniques for improving neural networks, strategies for organizing and completing machine learning projects, convolutional neural networks, and their applications, recurrent neural networks and their methods and applications, and advanced topics such as deep reinforcement learning, generative adversarial networks, and adversarial attacks. Deep learning algorithms are employed in a variety of industries, from automated driving to medical gadgets. 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.
