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YouTube

TensorFlow 2 Beginner Course

Patrick Loeber via YouTube

Overview

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Learn TensorFlow 2 fundamentals through this comprehensive beginner course covering essential machine learning concepts and practical implementations. Master tensor operations and build your first neural networks while exploring key architectures including convolutional neural networks (CNNs) for image processing and recurrent neural networks (RNNs, LSTMs, and GRUs) for sequential data. Develop hands-on experience through complete project walkthroughs including linear regression modeling, image classification of Lego Star Wars minifigures, and natural language processing for text classification. Discover advanced techniques such as transfer learning to leverage pre-trained models and explore the Functional API for creating multi-output neural network architectures. Gain practical skills in model persistence by learning to save and load trained models for future use. Progress from basic installation and tensor manipulation to implementing sophisticated deep learning solutions across computer vision and natural language processing domains.

Syllabus

TensorFlow Tutorial 01 - Installation - Beginner Course
TensorFlow Tutorial 02 - Tensor Basics - Beginner Course
TensorFlow Tutorial 03 - First Neural Network (Training, Evaluation & Prediction)
TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough
TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)
TensorFlow Tutorial 06 - Save & Load Models
TensorFlow Tutorial 07 - Functional API + Multi-output Project
TensorFlow Tutorial 08 - Classify Lego Star Wars Minifigures | Full Project Walkthrough
TensorFlow Tutorial 09 - Transfer Learning
TensorFlow Tutorial 10 - Recurrent Neural Nets (RNN & LSTM & GRU)
TensorFlow Tutorial 11 - Text Classification - NLP Tutorial

Taught by

Patrick Loeber

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