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 Ballarat
- Mobile App Develpment Courses in Ballarat
- Website Design Courses in Ballarat
- Networking and Security Courses in Ballarat
- Digital Marketing (SEO) Courses in Ballarat
- Graphics Training Courses in Ballarat
- Cloud Computing Courses in Ballarat
- Mean Stack Development Courses in Ballarat
- Python Full Packages Courses in Ballarat
- Animation & Video Editing Courses in Ballarat
- Mern Stack Development Courses in Ballarat
Course Highlights
Featured Courses
Companies like to hire people who have completed this deep learning course. Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. Artificial neural network systems are created on the human brain in deep learning, a subcategory of Machine Learning.
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 teaches using botorganizeded anorganizedtured data. One of the key benefits of employing deep learning is its capacity to perform feature engineering on its own.
Because there is a strong demand for skilled deep learning engineers in various fields, this deep learning course in Ballarat certification training is ideal for intermediate and advanced experts. Deep learning algorithms are employed in a variety of industries, from automated driving to medical gadgets. 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.
