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 Honolulu
- Mobile App Develpment Courses in Honolulu
- Website Design Courses in Honolulu
- Networking and Security Courses in Honolulu
- Digital Marketing (SEO) Courses in Honolulu
- Graphics Training Courses in Honolulu
- Cloud Computing Courses in Honolulu
- Mean Stack Development Courses in Honolulu
- Python Full Packages Courses in Honolulu
- Animation & Video Editing Courses in Honolulu
- Mern Stack Development Courses in Honolulu
Course Highlights
Featured Courses
Students receive practical experience by working on real-world projects. Deep learning powers a variety of AI (artificial intelligence) services and applications that automate and perform physical operations without the need for human participation. Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. Python is the language of deep learning. Companies like to hire people who have completed this deep learning course.
Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video.
. Deep learning is a type of learning that entails Specialization in Honolulu 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. One of the key benefits of employing deep learning is its capacity to perform feature engineering on its own. This deep learning course in Honolulu is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning.
