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 Belgaum
- Mobile App Develpment Courses in Belgaum
- Website Design Courses in Belgaum
- Networking and Security Courses in Belgaum
- Digital Marketing (SEO) Courses in Belgaum
- Graphics Training Courses in Belgaum
- Cloud Computing Courses in Belgaum
- Mean Stack Development Courses in Belgaum
- Python Full Packages Courses in Belgaum
- Animation & Video Editing Courses in Belgaum
- Mern Stack Development Courses in Belgaum
Course Highlights
Featured Courses
Deep learning teaches using botorganizeded anorganizedtured data.
. Deep learning is important because it automates feature generation, works well with unstructured data, has improved self-learning capabilities, supports parallel and distributed algorithms, is cost-effective, has advanced analytics, and is scalable. One of the key benefits of employing deep learning is its capacity to perform feature engineering on its own. Students receive practical experience by working on real-world projects.
Deep learning is a subset of machine learning (ML), which is essentially a three-layer neural network.
Because there is a strong demand for skilled deep learning engineers in various fields, this deep learning course in Belgaum certification training is ideal for intermediate and advanced experts.
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. Artificial neural network systems are created on the human brain in deep learning, a subcategory of Machine Learning.
