HRDF Course - Deep Learning and Machine Learning with TensorFlow

Deep learning (also known as deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. TensorFlow is one of the newest and most comprehensive libraries for implementing deep learning. This course will show you how to build deep learning applications using Tensorflow.

The topics include

• Installing TensorFlow
• Math Operations with TensorFlow
• Neural Networks with TensorFlow
• Deep Learning with Tensorflow
• Image Recognition with Convolutional Neural Network (CNN)
• Text Analysis with Recurrent Neural Network (RNN)
• Keras
• TFLearn

                     HRDF SBL Claimable for Employers Registered with HRDF

For more information regarding this course please visit:
https://www.tertiarycourses.com.my/deep-learning-neural-network-tensorflow-malaysia.html

Module 1 Getting Started 

• What is TensorFlow
• Install and Run TensorFlow

Module 2 Basic Tensorflow Operations

• Constant
• Graph Operation
• Math
• Matrix
• Placeholder
• Variable

Module 3 Datasets

• Iris Flower Dataset
• MNIST Handwritten Digits Dataset
• CIFAR Image Dataset
• One Hot Encoding/Decoding
• Split Dataset to Training/Testing

Module 4 Machine Learning on TF

• TF Graph Model
• Loss Function 
• Optimizer
• Training
• Metrics

Module 5 Neural Network (NN)

• What is Neural Network 
• Activation Functions
• Create a Deep Neural Network on TF
• TensorFlow Playground

Module 6 Tensorboard

• What is Tensorboard?
• Visualize a Tensorboard Graph
• Output Data to Tensorboard

Module 7 Convolutional Neural Network (CNN)

• What is CNN?
• CNN Architecture
• Convolution
• Pooling and Stride
• Dropout

Module 8 Recurrent Neural Network (RNN)

• What is RNN?
• How to train a RNN
• Long Term Dependencies
• LSTM Cell
• GRU Cell

Module 9 Keras

• What is Keras?
• Install Keras
• Neutral Network with Keras
• Inception V3 Transfer Learning

Module 10 TFLearn

• What is TFLearn?
• Install TFLearn
• Neutral Network with TFLearn

Amir 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 portfolio of data visualizations, primarily focusing on web-based techniques.