Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python & TensorFlow: Deep Dive into Machine Learning course has been specially designed to help learners gain a good command of Python & TensorFlow: Deep Dive into Machine Learning, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Python & TensorFlow: Deep Dive into Machine Learning course, you will gain theoretical understanding and skills of Python & TensorFlow: Deep Dive into Machine Learning that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.
Learning outcome
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.
Course Curriculum
Course Curriculum
Section 01: Introduction to Machine & Deep Learning
Additional Materials – Python & TensorFlow: Deep Dive into Machine Learning
00:00:00
What is Machine Learning?
00:03:00
Types of Machine Learning
00:03:00
Applications of Machine Learning
00:03:00
What is Deep Learning?
00:04:00
Section 02: Basics of TensorFlow & Installation
What is TensorFlow?
00:05:00
Installing and Setting up TensorFlow
00:03:00
TensorFlow Architecture
00:04:00
A refresher on APIs
00:08:00
TensorFlow APls
00:04:00
Section 03: Machine Learning Part 1: Supervised Learning
What is Supervised Learning?
00:03:00
Linear Regression
00:10:00
Logistic Regression
00:13:00
Decision Trees
00:08:00
Random Forests
00:08:00
Support Vector Machines (SVMs)
00:05:00
Section 04: Machine Learning Part 2: Unsupervised Learning
What is Unsupervised Learning?
00:09:00
K-Means Clustering
00:06:00
Hierarchical Clustering
00:06:00
Principal Component Analysis (PCA)
00:04:00
Section 05: Deep Learning Basics with Tensorflow: Neural Networks
What are Neural Networks?
00:04:00
Basic Neural Networks
00:05:00
Convolutional Neural Networks (CNNs)
00:06:00
Recurrent Neural Networks (RNNs)
00:04:00
Building Deep Neural Networks
00:05:00
Section 06: Model Evaluation & Optimization
Training and Testing Data
00:04:00
Model Evaluation Metrics
00:05:00
Overfitting and Underfitting
00:07:00
Hyperparameter Tuning
00:04:00
Section 07: TensorFlow for Production
Saving and restoring models
00:04:00
Deploying TensorFlow models
00:04:00
Distributed TensorFlow
00:04:00
TensorBoard for visualization and debugging
00:06:00
Section 08: Project: Image Classification
ML Project: Image Classification Model
00:05:00
Conclusion
Conclusion
00:05:00
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