TensorFlow 2 QuickStart for beginners

TensorFlow 2 QuickStart for beginners, available at $54.99, has an average rating of 3.82, with 8 lectures, based on 47 reviews, and has 9141 subscribers.

You will learn about Mastering TensorFlow 2 Fundamentals Hands-On Neural Network Optimizing Models for Performance Demo & Source code This course is ideal for individuals who are Beginners in Machine Learning It is particularly useful for Beginners in Machine Learning.

Enroll now: TensorFlow 2 QuickStart for beginners

Summary

Title: TensorFlow 2 QuickStart for beginners

Price: $54.99

Average Rating: 3.82

Number of Lectures: 8

Number of Published Lectures: 8

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: A$29.99

Quality Status: approved

Status: Live

What You Will Learn

Mastering TensorFlow 2 Fundamentals

Hands-On Neural Network

Optimizing Models for Performance

Demo & Source code

Who Should Attend

Beginners in Machine Learning

Target Audiences

Beginners in Machine Learning

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:

1. 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.

2. 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.

3. 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.

4. 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.

5. 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!

Course Curriculum

Chapter 1: TensorFlow 2 quickstart for beginners

Lecture 1: Introduction

Lecture 2: Set up TensorFlow

Lecture 3: Load a dataset

Lecture 4: Build a machine learning model

Lecture 5: Define a loss function

Lecture 6: Configure and compile the model

Lecture 7: Train and evaluate your model

Lecture 8: Code – Demo

Instructors

Academy of Computing & Artificial Intelligence
Senior Lecturer / Project Supervisor / Consultant

Rating Distribution

1 stars: 1 votes

2 stars: 4 votes

3 stars: 4 votes

4 stars: 16 votes

5 stars: 22 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!