Deep Learning Training/Course 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
- 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 Dukhan
- Mobile App Develpment Courses in Dukhan
- Website Design Courses in Dukhan
- Networking and Security Courses in Dukhan
- Digital Marketing (SEO) Courses in Dukhan
- Graphics Training Courses in Dukhan
- Cloud Computing Courses in Dukhan
- Mean Stack Development Courses in Dukhan
- Python Full Packages Courses in Dukhan
- Animation & Video Editing Courses in Dukhan
- Mern Stack Development Courses in Dukhan
Course Highlights
Featured Courses
Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. 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.
. Deep learning algorithms are employed in a variety of industries, from automated driving to medical gadgets. Companies like to hire people who have completed this deep learning course. One of the key benefits of employing deep learning is its capacity to perform feature engineering on its own.
Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. Python is the language of deep learning. Deep learning models in the real world could be used for driverless cars, money filtration, virtual assistants, facial recognition, and other applications.
