Dive into TensorFlow, one of the top libraries for numerical computation and AI. This beginner-friendly course focuses on TensorFlow's core: tensors and their use in neural networks. Learn about tensors, tensor operations, and basic TensorFlow components to begin creating simple neural network models.
Overview
Syllabus
- Lesson 1: Understanding the Basics of Tensors in TensorFlow
- Discover TensorFlow Tensor Properties
- Tensor Properties: Shape and Type
- Debugging TensorFlow Tensor Creation
- Creating a Tensor in TensorFlow
- Mastering Tensor Creation Properties in TensorFlow
- Lesson 2: Mastering Basic Tensor Operations in TensorFlow
- Basic TensorFlow Operations Explored
- Exploring TensorFlow Tensor Operations
- Diagnosing the Tensor Operation Glitch
- Broadcasting Tensors with Addition Operation
- Tensor Operations: Matrix Multiplication Mastery
- Master TensorFlow Tensor Operations
- Lesson 3: Manipulating Tensor Shapes with TensorFlow
- Transforming the Shape of a Tensor
- Reshape Your Tensor's Journey
- Reshape Sales Data Challenge
- Flattening Tensor for Processing
- Mastering Tensors Reshaping in TensorFlow
- Lesson 4: Defining Datasets with TensorFlow Tensors
- Tensor Data Conversion Essentials
- Modify Dataset to Match Requirements
- Convert Celebrity Data to Tensors
- Convert Data to TensorFlow Tensors
- Lesson 5: Introduction to Neural Network Layers with TensorFlow
- Processing Tensors with Neural Networks in TensorFlow
- Activating Layers: Sigmoid Transformation
- Debugging Neural Network Setup
- Feeding Input Tensors into Neural Network Layers
- Build Your First Neural Network
