Diploma in Practical Machine Learning with Tensor Flow

Name: Diploma in Practical Machine Learning with Tensor Flow
Rating: 4.5 (4 reviews)

Learn about the fundamentals of machine learning and the application of TensorFlow in this free online course.

This free online course on practical machine learning and TensorFlow will be particularly useful for technology companies, computer engineers. It will also be useful for Artificial Intelligence professionals who deal with data processing, as well as machine learning model building. By the end of this course, you will become more familiar with the concepts of TensorFlow, machine learning models and neural networks.

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Diploma in Practical Machine Learning with Tensor Flow

Duration
9-10 Hours
Students
2,767
Accreditation
CPD

Description

Modules

Outcome

Certification

View course modules

Description

This free online course in practical machine learning with TensorFlow will begin by introducing you to the concept of machine learning and the overview of TensorFlow. You will learn about the steps in the machine learning process, logistic regression and the loss unction in machine learning. You will also be introduced to gradient descent, gradient descent variations, machine learning visualization as well as confusion matrix.

The course then introduces the concept of tensors and their relevance. You will learn about the mathematical fundamentals of deep learning. You will also learn how to build data pipelines for TensorFlow as well as text processing with TensorFlow. Next, you will be introduced to machine learning models, text classification, overfitting, underfitting, regression and the architecture of neural network model.

The course then explains the meaning of convolution neural network and transfer learning. You will also learn about the pooling, and image classification and visualization. This course explains in great detail estimator API, boosted trees as well as word embeddings and its application. This course also explains the customization of TensorFlow, writing a custom layer as well as Tensorflow distributed training.

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Diploma in Practical Machine Learning with Tensor Flow

Duration

Students

Accreditation

Learn about the fundamentals of machine learning and the application of TensorFlow in this free online course.

Duration

Students

Accreditation

Description

Modules

Outcome

Certification

Description

Modules

Introduction to Tensorflow

Introduction to Tensorflow - Learning Outcomes

Overview of Tensorflow

Machine Learning Refresher

Steps in Machine Learning Process

Loss Function in Machine Learning

Gradient Descent

Introduction to Tensorflow - Lesson Summary

Machine Learning Concepts

Machine Learning Concepts - Learning Outcomes

Gradient Descent Variations

Model Selection and Evaluations

Machine Learning Visualization

Deep Learning Refresher

Introduction to Tensor

Machine Learning Concepts - Lesson Summary

Data Pipelines and Text Processing

Data Pipelines and Text Processing - Learning Outcomes

Mathematical Fundamental of Deep Learning

Building Data Pipelines for Tensorflow I

Building Data Pipelines for Tensorflow II

Building Data Pipelines for Tensorflow III

Text Processing with Tensorflow

Data Pipelines and Text Processing - Lesson Summary

Building Machine Learning Models

Building Machine Learning Models - Learning Outcomes

Classify Image

Regression

Classify Structured Data

Text Classification

Underfitting and Overfitting

Save and Restore Models

Building Machine Learning Models - Lesson Summary

Diploma in Practical Machine Learning with Tensor Flow - First Assessment

Diploma in Practical Machine Learning with Tensor Flow - First Assessment

Convolutional Neural Network

Convolutional Neural Network - Learning Outcomes

Convolutional Neural Networks

Key Operations in CNNs

Transfer Learning with Pre-trained CNNs

Transfer Learning with Tensorflow Hub

Image Classification and Visualization

Convolutional Neural Network - Lesson Summary

Training and Embedding

Training and Embedding - Learning Outcomes

Estimator API

Logistic Regression

Boosted Trees

Introduction to Word Embeddings

Convolutional Neural Network - Lesson Summary

Introduction to Recurrent Neural Networks

Introduction to Recurrent Neural Networks - Learning Outcomes

Recurrent Neural Networks

Recurrent Neural Networks II

Time Series Forecasting with RNNs

Text Generation with RNNs

Introduction to Recurrent Neural Networks - Lesson Summary

Training and Customizing

Training and Customizing - Learning Outcomes

Tensorflow Customization

Customizing Tensorflow Keras

Tensorflow Keras Concepts

Tensorflow Distributed Training

Training and Customizing - Lesson Summary

Diploma in Practical Machine Learning with Tensor Flow - Second Assessment

Diploma in Practical Machine Learning with Tensor Flow - Second Assessment