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 Hyderabad
- Mobile App Develpment Courses in Hyderabad
- Website Design Courses in Hyderabad
- Networking and Security Courses in Hyderabad
- Digital Marketing (SEO) Courses in Hyderabad
- Graphics Training Courses in Hyderabad
- Cloud Computing Courses in Hyderabad
- Mean Stack Development Courses in Hyderabad
- Python Full Packages Courses in Hyderabad
- Animation & Video Editing Courses in Hyderabad
- Mern Stack Development Courses in Hyderabad
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. One of the key benefits of employing deep learning is its capacity to perform feature engineering on its own. Artificial neural network systems are created on the human brain in deep learning, a subcategory of Machine Learning. Companies like to hire people who have completed this deep learning course. 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. Deep learning has become increasingly significant for commercial decision-making since it is very adept at processing such forms of data.
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.
.
