Machine Learning
218 learners
Introduction to TensorFlow Basics
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.
Numpy
Python
TensorFlow
5 lessons
25 practices
3 hours
Deep Learning and Neural Networks
Lessons and practices
Discover TensorFlow Tensor Properties
Tensor Properties: Shape and Type
Debugging TensorFlow Tensor Creation
Creating a Tensor in TensorFlow
Mastering Tensor Creation Properties 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
Transforming the Shape of a Tensor
Reshape Your Tensor's Journey
Reshape Sales Data Challenge
Flattening Tensor for Processing
Mastering Tensors Reshaping in TensorFlow
Tensor Data Conversion Essentials
Modify Dataset to Match Requirements
Convert Celebrity Data to Tensors
Convert Data to TensorFlow Tensors
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
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