TensorFlow 2 QuickStart for beginners

Focused View

Academy of Computing & Artificial Intelligence

39:05

6 View

1. TensorFlow 2 quickstart for beginners

1. Introduction.mp4

03:07

2. Set up TensorFlow.mp4

05:56

3. Load a dataset.mp4

05:24

4. Build a machine learning model.mp4

08:27

5. Define a loss function.mp4

06:56

6. Configure and compile the model.mp4

04:45

7. Train and evaluate your model.mp4

04:30

8. Code - Demo.html

Description

Build, Train and Evaluate a Neural Network machine learning model that classifies images

What You'll Learn?

Mastering TensorFlow 2 Fundamentals
Hands-On Neural Network
Optimizing Models for Performance
Demo & Source code

Who is this for?

Beginners in Machine Learning

What You Need to Know?

Basic python knowledge

More details

Description
Course Title: "TensorFlow 2 Quickstart for Beginners: Your Gateway to Data Science and Machine Learning"
Are you ready to embark on an exciting journey into the world of data science and machine learning? Look no further! Our TensorFlow 2 Quickstart for Beginners course is your ultimate ticket to mastering the fundamentals of machine learning using the powerful TensorFlow framework.
Course Highlights:
Hands-On Learning with TensorFlow 2: This course is not just about theory; it's a hands-on experience where you'll work directly with TensorFlow 2, the cutting-edge machine learning library.
Effortless Setup with Google Colab: Say goodbye to complex installations! Our tutorial is hosted on Google Colab, allowing you to run Python programs directly in your browser. This seamless experience makes learning TensorFlow hassle-free.
Build and Train Your Neural Network: From loading a prebuilt dataset to constructing a neural network model, this course guides you step-by-step. You'll master the art of building models that can classify images, a fundamental skill in the machine learning domain.
Expert Guidance Using Keras: We leverage Keras, TensorFlow's high-level API, making the learning curve smooth for beginners. You'll load datasets, build models, and train neural networks with ease.
Optimise Your Model with Dropout: Learn how to prevent overfitting and enhance your model's generalisation using the Dropout layer. Our course equips you with practical techniques to fine-tune your neural networks.
Why Invest in This Course?
Practical Skill Development: Gain hands-on experience and build a solid foundation in machine learning.
Highly Accessible Learning Environment: Our course is hosted on Google Colab, ensuring a hassle-free setup for everyone, regardless of your development environment.
Expertly Crafted Curriculum: Developed by TensorFlow Authors, this course follows industry best practices and standards.
Build Confidence in TensorFlow: Feel confident in your ability to set up TensorFlow, load datasets, and build and train your own machine-learning models.
Your Investment in Knowledge:
Enroll now and set yourself on a path to success in the dynamic field of data science and machine learning. Acquire practical skills, build confidence, and unlock the potential of TensorFlow 2. This course is not just an educational experience; it's an investment in your future success!
Join us, and let's explore the limitless possibilities of TensorFlow together. Click 'Enroll Now' and start your journey into the fascinating world of machine learning!

Who this course is for:
Beginners in Machine Learning

User Reviews

Rating

average 0

Total votes0

Focused display

TensorFlow

Academy of Computing & Artificial Intelligence

Instructor's Courses

Academy of Computing & Artificial Intelligence -UK proudly presents you these valuable courses. [ACAI]It all started when the expert team of The Academy of Computing & Artificial Intelligence [ACAI] (PhD, PhD Candidates, Senior Lecturers , Consultants , Researchers) and Industry Experts . hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2022. To make the course more interactive, we have also provided a live code demonstration where we explain to you how we could apply each concept/principle [Step by step guidance]. Each & every step is clearly explained. [Guided Tutorials]"While artificial intelligence (AI) is the broad science of mimicking human abilities, machine learning is a specific subset of AI that trains a machine how to learn. The Founder has over 12 years of work experience as a Researcher, Senior Lecturer, Project Supervisor & Engineer. PhD Candidate in Australia,MSc Artificial Intelligence (University of Moratuwa), BSc Software Engineering - First Class Honours (University of Westminster),SCJP, SCWCHe has completed a MSc in Artificial Intelligence. Completed BSc Software Engineering - First Class Honors from University of Westminster (UK). Sun Certified Java Programmer (SCJP). – 93% and a Sun Certified Web Component Developer 97%. Research experience in Data mining, Machine Learning , Cloud computing, Business Intelligence & Software Engineering.Course Team includes : PhD Holders , PhD Candidates, Senior Lecturers , Consultants , Researchers, Industry Experts & hiring managers

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.