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 Sydney
- Mobile App Develpment Courses in Sydney
- Website Design Courses in Sydney
- Networking and Security Courses in Sydney
- Digital Marketing (SEO) Courses in Sydney
- Graphics Training Courses in Sydney
- Cloud Computing Courses in Sydney
- Mean Stack Development Courses in Sydney
- Python Full Packages Courses in Sydney
- Animation & Video Editing Courses in Sydney
- Mern Stack Development Courses in Sydney
Course Highlights
Featured Courses
Deep learning powers a variety of AI (artificial intelligence) services and applications that automate and perform physical operations without the need for human participation.
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 models in the real world could be used for driverless cars, money filtration, virtual assistants, facial recognition, and other applications.
Because there is a strong demand for skilled deep learning engineers in various fields, this deep learning course in Sydney 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.
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. Students receive practical experience by working on real-world projects. Deep learning algorithms are employed in a variety of industries, from automated driving to medical gadgets. Deep learning is a type of learning that entails Specialization in Sydney 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.
