Deep Learning with TensorFlow & Keras – No Prep Lesson Pack – Book 2 Unit 05

Deep Learning with TensorFlow & Keras – No Prep Lesson Pack – Book 2 Unit 05

A complete, classroom-ready deep learning teaching resource for intermediate Computer Science, ICT, STEM, artificial intelligence, machine learning, Python and data science lessons.

This no-prep lesson pack introduces students to deep learning with TensorFlow and Keras. Students explore why deep learning matters, how neural networks can process images, how convolutional neural networks work, and how transfer learning makes advanced AI projects more accessible.

This resource is prepared as part of Fatih ARICA’s AI & Machine Learning Intermediate teaching resource series and is designed to support the AI & Machine Learning: European Edition learning sequence.

What is included:

• Course Promo Page PDF and editable DOCX
• Full Teacher Package PDF and editable DOCX
• Lesson Plan PDF and editable DOCX
• Summary Notes PDF and editable DOCX
• Student Worksheet PDF and editable DOCX
• Answer Key PDF and editable DOCX
• Teacher Handbook PDF and editable DOCX
• Printable Activity Cards PDF and editable DOCX
• Exit Tickets PDF and editable DOCX
• PowerPoint slide deck
• 800 × 600 TES cover image
• Read Me First file

Students will learn to:

• Explain what deep learning is and why it is useful
• Understand the role of TensorFlow and Keras
• Describe how CNNs process images
• Explain filters, pooling and feature maps
• Understand image classification workflows
• Recognise why transfer learning is useful
• Understand the basic idea of RNNs and LSTM models
• Use Google Colab as a beginner-friendly deep learning environment
• Connect deep learning with responsible AI, bias, safety and reliability

Ideal for:

• Computer Science lessons
• ICT and digital skills lessons
• STEM enrichment
• Artificial intelligence and machine learning units
• Python machine learning lessons
• Deep learning introduction lessons
• Intermediate AI / ML teaching
• Secondary, high school and vocational education
• Non-specialist teachers introducing deep learning concepts

Series information:

This is Book 2 Unit 05 of the AI & Machine Learning Intermediate Series.

Previous units:
Book 2 Unit 01 – Regression Algorithms
Book 2 Unit 02 – Unsupervised Learning & Clustering
Book 2 Unit 03 – Model Evaluation & Validation
Book 2 Unit 04 – Neural Networks from Scratch

Continue with:
Book 2 Unit 06 – Computer Vision
Book 2 Unit 07 – Natural Language Processing

This resource can be used as a standalone complete lesson pack or as part of the full intermediate AI and Machine Learning teaching sequence.

Resource details:

Resource type: Lesson (complete)
Age range: 14-16, 16+
Subject: Computer Science
Level: Intermediate AI & Machine Learning
Format: PDF, editable DOCX and PowerPoint PPTX files