// MACHINE LEARNING

An introduction to TensorFlow 2.20.0, covering what it is, its benefits, use cases, a brief history, and step-by-step instructions for setting up your …

A detailed explanation of TensorFlow's fundamental building blocks: Tensors as multi-dimensional arrays, common operations to manipulate them, and the …

Learn to build and train your first neural network using the high-level Keras API in TensorFlow 2.20.0, covering sequential and functional models, …

Master the `tf.data` API for building efficient and scalable input pipelines in TensorFlow 2.20.0, covering dataset creation, transformations, …

Explore intermediate TensorFlow 2.20.0 concepts, including building custom training loops with `tf.GradientTape` for fine-grained control and …

Delve into advanced TensorFlow 2.20.0 topics: scaling model training with Distribution Strategies across multiple GPUs/TPUs and deploying models …

A step-by-step guided project to build, train, and evaluate a Convolutional Neural Network (CNN) for image classification using TensorFlow 2.20.0 and …

A step-by-step guided project to build a text generation model using Long Short-Term Memory (LSTM) networks in TensorFlow 2.20.0, covering text …

A curated list of recommended online courses, official documentation, blogs, YouTube channels, and community forums for continued learning and …

Delve into advanced Transformers.js topics including performance optimization with WebGPU, understanding model quantization, and integrating custom or …

Learn to integrate automatic speech recognition (ASR) and text-to-speech (TTS) capabilities into your web applications using Transformers.js for …

A curated list of recommended resources, official documentation, communities, and next steps to continue your learning journey with Transformers.js …

Explore the core concepts of Transformers.js: the `pipeline` API for common tasks and how to load and utilize various pre-trained models from the …

An introduction to Transformers.js, covering its purpose, benefits for web development, and step-by-step instructions for setting up your development …

A comprehensive guide to learning TensorFlow 2.20.0, from fundamental concepts to advanced applications, with practical examples and guided projects …

A comprehensive, beginner-friendly guide to Transformers.js, enabling state-of-the-art machine learning directly in web browsers. Learn from …

A guided, step-by-step project to build a real-time sentiment analysis web application entirely in the browser using Transformers.js.

Build an interactive web application that automatically generates descriptive captions for uploaded images using a multimodal Transformers.js model, …

Discover how to perform Computer Vision tasks like image classification, object detection, and image feature extraction directly in the browser using …

Explore Natural Language Processing (NLP) tasks with Transformers.js, including sentiment analysis, text generation, summarization, and named entity …

A comprehensive guide to traditional Machine Learning concepts and practical application with Scikit-learn, from basic regression and classification …