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Course Details
Course Details
What You'll Learn
Topic 1 Introduction to Deep Learning
Machine Learning vs Deep Learning
Deep Learning Methodology
Overview of Tensorflow Keras
Install and Run Tensorflow Keras
Basic Tensorflow Keras Operations
Topic 2 Neural Network for Regression
What is Neural Network (NN)?
Loss Function and Optimizer
Build a Neural Network Model for Regression
Topic 3 Neural Network for Classification
One Hot Encoding and SoftMax
Cross Entropy Loss Function
Build a Neural Network Model for Classification
Topic 4 Convolutional Neural Network (CNN)
Introduction to Convolutional Neural Network?
ImageDataGenerator
Image Classification Model with CNN
Data Augmentation and Dropout
Topic 5 Transfer Learning
Introduction to Transfer Learning
Applications of Pre-Trained Models
Fine Tuning Pre-Trained Models
Topic 6 Recurrent Neural Network (RNN)
Introduction to Recurrent Neural Network (RNN)
LSTM and GRU
Build a RNN Model for Time Series Forecasting
Build a RNN Model for Sentiment Analysis
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 21-65 years old
Minimum Software/Hardware Requirement
Software:
You can download and install the following software:
Hardware: Windows and Mac Laptops
Job Roles
Job Roles
- Machine Learning Engineer
- Data Scientist
- Deep Learning Researcher
- AI Developer
- Neural Network Designer
- Computer Vision Engineer
- NLP Engineer (branching into deep learning)
- AI Product Manager (technical understanding)
- Robotics Engineer (with AI components)
- Bioinformatics Scientist (deep learning applications)
- Medical Imaging Specialist (AI-focused)
- Game Developer (AI-driven features)
- Predictive Analytics Specialist
- AI/ML Educator or Trainer
- Autonomous Systems Developer.
Trainers
Trainers
Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.
