Production ML for Mission-Critical Applications
Explore rigorous approaches for deploying ML in production, addressing scalability, testability, and performance analysis. Learn about TensorFlow Extended for large-scale applications.
Create AI Images with Your Face Using Photomaker - Free and Easy Tutorial
Explore Photomaker to generate AI images featuring your face. Learn installation, Python libraries, and text-prompt techniques for creating personalized, stunning photos effortlessly.
TensorFlow 2.0 Beginner Tutorials
Learn TensorFlow 2.0 through hands-on tutorials covering installation, neural networks, CNNs, RNNs, transfer learning, data augmentation, custom training, and more. Build practical skills for deep learning projects.
Coding TensorFlow
Comprehensive series exploring TensorFlow's capabilities, from basics to advanced topics like NLP, computer vision, and recommendation systems. Hands-on coding tutorials for various ML applications.
Inside TensorFlow
Deep dive into TensorFlow's internal workings, covering advanced topics like parameter servers, quantization, debugging, and optimization, presented by the framework's developers.
TensorFlow Extended
Learn TensorFlow Extended (TFX) for production ML pipelines, covering workflows, metadata, distributed processing, model understanding, and continuous retraining for effective MLOps implementation.
TensorFlow Object Detection API
Learn to implement and customize TensorFlow's Object Detection API for real-time video analysis and tracking of custom objects through hands-on tutorials.
Tensorflow Object Detection
Learn to set up and use TensorFlow Object Detection API with TensorFlow 2.0 on Windows, including custom object detection and real-time image segmentation from video streams.
TensorFlow.js - Intelligence and Learning
Explore TensorFlow.js fundamentals, including tensors, operations, and the Layers API. Learn to implement linear and polynomial regression, and solve the XOR problem using neural networks.
TensorFlow.js Color Classifier - Intelligence and Learning
Learn to build a color classifier using TensorFlow.js, covering data collection, cleaning, model creation, training, and prediction in a hands-on, step-by-step approach.
Machine Learning with TensorFlow, ml5.js, and Spell
Learn to train machine learning models in the cloud using TensorFlow and Spell, then implement them in browsers with ml5.js. Covers style transfer and text generation with hands-on projects.
Deep Learning for JavaScript Hackers - Use TensorFlow.js in the Browser
Learn to implement deep learning models in JavaScript using TensorFlow.js, covering logistic and linear regression, neural networks, and data preprocessing techniques for browser-based applications.
Building Recommendation Systems with TensorFlow
Learn to create powerful recommendation systems using TensorFlow, covering content-based and collaborative filtering, ranking models, multitask learning, and efficient serving with ScaNN.
Deep Learning With TensorFlow
Learn TensorFlow basics, deep learning concepts, and practical applications through comprehensive tutorials and hands-on projects. Explore neural networks, computer vision, and natural language processing.
Python Neural Network Tutorials
Aprenda a criar e usar redes neurais com TensorFlow 2.0, incluindo classificação de texto, camadas de embedding e uso de GPU para processamento eficiente.
Keras Tutorial With TensorFlow - Building Deep Learning Models With Python
Learn to build deep learning models using Keras and TensorFlow in Python. Covers data preparation, neural network construction, and practical implementation with hands-on examples.
TensorFlow 2.0 Tutorial - Deep Learning
Comprehensive TensorFlow 2.0 tutorial covering installation, neural networks, digit classification, and CNNs. Hands-on sessions provide practical understanding for deep learning enthusiasts.
Data Science Projects
Hands-on projects covering deep learning, machine learning, and data analysis. Practical applications in healthcare, finance, and more using Python, TensorFlow, and other tools.
Data Science
Learn data science techniques using Python, Pandas, and TensorFlow. Explore regression analysis and practical applications with wine datasets on Kaggle.
Deep Learning Tutorials
Explore TensorFlow syntax and compare versions in this comprehensive tutorial, covering machine learning fundamentals and practical applications in data science.
Introduction to Deep Learning for Everyone
Learn deep learning fundamentals using Keras and TensorFlow in R, covering regression, neural networks, regularization, and convolutional networks for practical applications.