Our deep learning projects are an excellent example of your Matlab project. It provides many program examples for all logics. Consequently, It is a seamless part of our company. It was established by several teams of experts who are thinking open mind. Our experts are not trying to do a regular task. In Matlab programs, we are a leading example. We offer the finest and top-level service for all final year Matlab projects for mechanical engineering students.
An example is a crucial element for any design. Students may doubt when they do not get an instance for any process. Our good example has twice the value of good content. It is the only thing that using Matlab deep learning projects. We are working for extensive and short program examples, mainly. Many colleges in their program writing use some of our codes. For example, research topics in pattern analysis and machine intelligence, deep learning (DL) and reinforcement learning (RL) works are recognized in all current fields. These are the best program examples for Matlab. We can modify any hyper parameter or function in DL and RL.
DL Matlab Project Workflow
- Prepare data or Network model
- Data access and preprocessing
- Ground truth labeling
- Training model
- Model design
- Hyperparameter setting (if any)
- Tuning
- Model exchange
- Hardware acceleration
- Deployment model
- Multiplatform code generation (GPU, CPU)
- Edge deployment
- Enterprise deployment
DL Training Models
- Inception – v3
- ResNet-18
- SqueezeNet
- ResNet – 101
- AlexNet
- GoogLeNet
- VGG-16
- DenseNet-201
- ResNet-50
- Inception ResNet-v2
- VGG-19
DL Testing Models
- Recurrent Neural Network
- Deep Belief Network
- Autoencoder
- Convolutional Neural Network
- Deep Boltzman Machine
Import and Export DL Models
- Keras – Tensorflow Importer
- Caffe Model Importer
- ONNX Model Converter
RL Models
- Monte Carlo Method
- Q-Learning
- SARSA Algorithm
- Deep Q Network (DQN)
- Deep Deterministic Policy Gradient (DDPG)
- Trust Region Policy Optimization (TRPO)
- Twin Delayed Deep Deterministic Policy Gradient (TD3)
- Asynchronous Advantage Actor-Critic Algorithm (A3C)
- Soft Actor-Critic (SAC)
RL Practical Example
- Automated and Self Driving Car
- Sensor Readings (LIDAR, Cameras) (AGENT)
- Learning vehicle to drive a car (STATE)
- Vehicle moving position and road conditions (ENVIRONMENT)
- Steering, braking and throttle commands (ACTION)
- Avoid collisions and lane deviation (REWARD)
Live Matlab deep learning projects example include,
- Facebook facial recognition
- Netflix video recommendation
- Google maps speed of traffic
- Amazon purchase prediction
- Smart email categorization
- Industrial process optimization
- Recommender systems
- Fraud detection
- Energy usage in data centers
- Early disease diagnosis
Algorithms Focus Areas include,
- Computer Vision
- Robotics
- Natural Language Processing
- Virtual and Physical Agents
- Wireless Networks (e.g. 5G) Industry and Manufacturing
- Fog and Cloud Computing
- Digital Image Processing
- Cyber-Physical Systems
- Signal Processing
- Medical Image Processing
