easylearn.ing
Easy Learning with Python TensorFlow Programming with Coding Exercises
Development > Programming Languages
1.5 h
£19.99 £12.99
4.2 ★★★★★
5570 students

Enroll Now

Language: English

Deep Learning with TensorFlow: Build & Deploy Neural Networks

What you will learn:

  • Build and train neural networks using TensorFlow.
  • Implement CNNs and RNNs for image recognition and sequence prediction.
  • Fine-tune and optimize deep learning models for enhanced performance.
  • Deploy TensorFlow models to real-world applications.
  • Master TensorFlow's Keras API for efficient model building.
  • Understand TensorFlow core concepts and ecosystem.
  • Apply linear regression and classification techniques with TensorFlow.
  • Utilize transfer learning to improve model efficiency.
  • Solve practical coding exercises for hands-on learning.
  • Gain proficiency in data science and AI applications.

Description

Dive into the world of deep learning with our comprehensive TensorFlow course! Learn to build, train, and deploy powerful neural networks from scratch. This practical course uses hands-on projects and coding exercises to solidify your understanding of TensorFlow's core concepts, CNNs, RNNs, and the Keras API. Gain in-demand skills to excel in AI and data science. Whether you're a beginner or have some experience, you'll find valuable insights and practical techniques to elevate your deep learning expertise. We cover key aspects including building basic neural networks, implementing convolutional neural networks (CNNs) for image recognition, creating recurrent neural networks (RNNs) for sequence prediction, mastering TensorFlow's Keras API for efficient model building, techniques for fine-tuning and optimization, and deploying your models for real-world impact. This course features a wealth of coding exercises, providing immediate application and reinforcing your understanding. Expert instructor Faisal Zamir, a seasoned Python developer with 7+ years of teaching experience, guides you step-by-step through each concept. Benefit from a 30-day money-back guarantee and receive a certificate upon completion to showcase your newfound skills. Don't just learn the theory; build, optimize, and deploy – transform your data science career today!

Curriculum

Introduction to TensorFlow

This introductory section lays the foundation for your TensorFlow journey. You'll start with an overview of TensorFlow and its ecosystem ('Introduction to TensorFlow'), followed by practical application in 'Lesson 01'. Reinforce your learning with detailed 'Coding Exercises with Solutions', test your knowledge with 'Assignment 01' and 'Practice Test 01', ensuring you grasp the fundamentals before moving on.

TensorFlow Core Concepts

Delve deeper into the core mechanics of TensorFlow with 'TensorFlow Core Concepts'. 'Lesson 02' provides further practical instruction, and 'Coding Exercises with Solutions' allow you to apply what you've learned. Consolidate your understanding with 'Assignment 02'.

Linear Regression with TensorFlow

This section focuses on applying TensorFlow to linear regression. Start with a comprehensive overview in 'Linear Regression with TensorFlow', followed by 'Lesson 03' covering practical implementation. Strengthen your skills with 'Coding Exercises with Solutions' and check your understanding with 'Assignment 03'.

Classification with TensorFlow

Learn the techniques of classification using TensorFlow. Begin with 'Classification with TensorFlow', then apply your knowledge through 'Lesson 04'. Practice and solidify your understanding with 'Coding Exercises with Solutions' and 'Assignment 04'.

Neural Networks and TensorFlow

This section dives into the world of neural networks within the TensorFlow framework. 'Neural Networks and TensorFlow' provides an overview, followed by practical implementation in 'Lesson 05'. Reinforce your learning with 'Coding Exercises with Solutions' and test your skills with 'Assignment 05'.

Convolutional Neural Networks (CNNs)

Explore the power of CNNs with 'Convolutional Neural Networks (CNNs)', then put your knowledge into action with 'Lesson 06'. Utilize 'Coding Exercises with Solutions' to reinforce your skills and verify your understanding with 'Assignment 06'.

Recurrent Neural Networks (RNNs)

This section focuses on RNNs. Learn the fundamentals in 'Recurrent Neural Networks (RNNs)', then solidify your understanding with 'Lesson 07'. Practice your newly acquired skills using the 'Coding Exercises with Solutions' and check your knowledge with 'Assignment 07'.

Transfer Learning with TensorFlow

Discover the efficiency of transfer learning with TensorFlow in 'Transfer Learning with TensorFlow', and build on that foundation with 'Lesson 08'. Apply your knowledge through 'Coding Exercises with Solutions' and assess your learning with 'Assignment 08'.

TensorFlow with Keras API

Master the Keras API for streamlined TensorFlow development. Start with 'TensorFlow with Keras API', then put the concepts to use in 'Lesson 09'. Improve your skills through 'Coding Exercises with Solutions' and test your understanding with 'Assignment 09'.

Deploying TensorFlow Models

Learn to deploy your TensorFlow models in real-world applications using 'Deploying TensorFlow Models' and 'Lesson 10'. Finally, test your overall knowledge with 'Coding Exercises with Solutions', 'Assignment 10', and 'Practice Test 02'.