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Deep Learning with Keras

Keras is a popular high level programming framework for deep learning that simplifies the process of building deep learning applications. Instead of coding in low level TensorFlow and provide all the details, Keras provides a simplified programming interface wrapper over Tensorflow. In this course, you will learn how use Keras for deep learning and machine learning,  CNN, RNN, and explore many powerful pre-trained deep learning models included in Keras.

  • Deep Neural Network (DNN) with Keras
  • Convolutional Neural Network (CNN) for for Image Processing with Keras
  • Transfer Learning with Keras
  • Keras Tensorboard Callbacks
  • Recursive Neural Network (RNNs) for Text Processing with Keras
  • Deployment to Google Cloud Platform

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M550

Course Booking

MYR880.00

Course Date

Course Time

* Required Fields

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Module 1 Getting Started on Keras

  1. What is Keras
  2. Keras vs TensorFlow
  3. Install and Run Keras

Module 2 Neural Networks

  • What is Neural Network ?
  • Basic Concepts of Machine Learning
  • Regression Application
  • Classification Application

Module 3 Convolutional Neural Network (CNN)

  • What is CNN?
  • CNN Architecture
  • Image Classification with CNN

Module 4 Transfer Learning

  • What is Transfer Learning
  • Pre-Trained Image Recognition Models
  • Fine Tuning Pre-Trained Models

Module 5 Recurrent Neural Network (RNN)

  • Sequential Data
  • What is RNN?
  • Types of RNN
  • How to train a RNN
  • Long Term Dependencies
  • LSTM and GRU Cells
  • RNN on IMDB datasets

Module 6 Visualization with Tensorboard

  • What is Tensorboard
  • Keras Callbacks

Module 7 Deployment (Optional)

  • Deploy model at Google Cloud Platform
  • Google Cloud API Services

Who Should Attend

  • Data Scientists
  • Data Analysts
  • Engineers

Prerequisite

Basic Python knowledge is assumed

Trainers

Data Science TrainerDr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Machine Learning TrainerAmir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.

With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator

www.kronologimalaysia.com and www.diezeitachse.de

He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.

After the realization set in that, I do not want to make it as an electronic engineer, I took the decision to go and try something new out of pure curiosity and thirst for new adventure. It didn't come quite handy but I have changed my major three times. It's not a surprise that I studied artificial intelligence and found myself all over again. I have a strong passion for machine learning and data science, fueled by the drive to learn and the endurance for growth beyond the ordinary.

Deep Learning with Tensorflow TrainerFares Hasan has a strong passion for machine learning and data science, fueled by the drive to learn and the endurance for growth beyond the ordinary. He has worked on various projects that inspired him. His work with medical imaging in diagnosing tuberculosis using chest x-ray images has given him a purpose and clarity of the quality of life we could achieve from developing artificial intelligence technologies. His next mission is to further his research in this field for there he could contribute by an ounce for the betterment of humanity.

He is also focused on contributing to various initiatives workshops and meetups to spread the knowledge of artificial intelligence and machine learning in support of the democratization of Ai efforts. He is given the main segment in DevCon initiative by MAGIC (Malaysian Global Innovation Center) in the machine learning chapter.

Python 3 TrainerJatin Solanki has over 10 years of experience in advanced analytics, business intelligence & corporate strategy. He has worked in insurance, eCommerce (internet), Travel, Consulting & FMCG. He is well-versed in R, SPSS, PSPP, Python, SAS enterprise miner, Knime, Matlab, Rapidminer, Google analytics, Adobe marketing cloud, Database knowledge: mySQL, SQL, Postgres, Mongodb Business intelligence knowledge: Tableau, Qlikview, Cognos. He has expertise in Web analytics, Management finance reporting, Financial modelling.

Python Scikit TrainerJack Goh is a machine learning engineer at Coqnitics, Kuala Lumpur Malaysia. His job scope included research and development in computer vision recognition using ML/DL object detection and classification models. He has experience in using Django, PHP, CSS, HTML and JavaScript.

MachineLearning TrSyed Muhammad Farrukh Akhtar has more than 15 years of experience analysis, designing, developing, integrating and managing large applications for diverse industries. He has experience working in Dubai, Pakistan, Germany and Malaysia, strong hands-on experience of software design, development and integration on different platform like IBM J2EE, Oracle and Microsoft .Net, Big data, Hadoop, Spark, HBase, Hive, Sqoop, Flume and NoSQL. He also has expertise in Machine Learning/ Deep Learning with Tensor Flow, Keras and Python, excellent skills in React, Ionic 2, Angular 2, Mobile Apps with React Native and Node.js.

He is highly knowledgeable in object oriented software development, requirements analysis, and database design. Possess deep understanding of Open Source technologies’ applicability in emerging business areas. He possesses excellent knowledge in Rational Unified Process (RUP); Rational Software Architect; data modeling and mapping; and extensible system design using the UML and Visio. Professional experience on J2EE, JMS, Web Sphere, Oracle, Spring, Hibernate, Struts and 3-Tier Web-based Applications Development.

TensorFlow TrainerDr. Nouar Dah is an experienced Lab Instructor at YPU. He has experience has a software engineer and senior hardware engineer. He has a PhD in Mechatronics Engineering from IIUM. He is well-versed in microcontrollers, FPGA, Matlab and VHDL.

R Statistics TrainerSultan Maideen has over 8 years of experience in Business Intelligence with Predictive Analytics and Data Visualization. His colleagues regard him as a self-motivated thought leader in building governed self-service BI/Analytical models in Tableau, QlikView, MicroStrategy, and Power BI.

He specializes in enhancing the quality of business strategy and helping companies improve top-line & bottom-line by devising creative solutions & managing stakeholders’ expectations successfully.

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