TensorFlow & Deep Learning, without a PhD
Comprehensive introduction to TensorFlow and deep learning concepts, covering neural networks, machine learning techniques, and practical applications without requiring advanced expertise.
Deep Stupidity - What Neural Networks Can & Cannot Do
Explores limitations of neural networks and AI, challenging assumptions about machine intelligence and discussing philosophical implications for consciousness and cognition.
An Examination of AI Policy Frameworks: The NIST AI RMF and Others
Explore AI policy frameworks, focusing on NIST's AI Risk Management Framework. Learn about its structure, application, and related resources to improve AI trustworthiness and development.
Particle Dispersion Tutorial in After Effects
Learn to create dynamic particle dispersion effects in After Effects, mastering techniques for emitters, motion, color, and text integration.
Natural Language Digital Assistants in Higher Education
Explore the potential of digital assistants in higher education, covering key use cases, real-life examples, and implementation strategies for improved customer service and efficiency.
The Narrated Transformer Language Model
Visual introduction to the Transformer architecture, explaining its components and applications in AI/ML. Accessible to various experience levels, covering tokenization, embedding, and output projection.
Neural Structured Learning in TensorFlow
Explore TensorFlow's Neural Structured Learning framework for training robust neural networks with structured signals, applicable to vision, language understanding, and general prediction tasks.
BERTopic Explained
Explore BERTopic, an advanced topic modeling technique using transformers, UMAP, and HDBSCAN. Learn its components, implementation, and customization for organizing unstructured text data effectively.
Today Unsupervised Sentence Transformers, Tomorrow Skynet - How TSDAE Works
Explore unsupervised fine-tuning for sentence transformers using TSDAE. Learn to train models without labeled data, ideal for domains and languages with limited resources.
Intro to Sentence Embeddings with Transformers
Learn to create and apply sentence embeddings using transformers for semantic similarity tasks, exploring models like BERT and GPT for advanced natural language processing applications.
Intro to Dense Vectors for NLP and Vision
Explore dense vector representations in NLP and computer vision, from word2vec to modern transformer models, with practical Python implementations and applications.
Build NLP Pipelines with HuggingFace Datasets
Explore HuggingFace Datasets for NLP: Learn to access, load, select, and modify datasets, build efficient pre-processing pipelines, and leverage powerful functions for NLP tasks.
How to Build a Bert WordPiece Tokenizer in Python and HuggingFace
Learn to build a custom BERT WordPiece tokenizer in Python using HuggingFace, essential for creating transformer models for specific languages or domains. Includes step-by-step walkthrough and code implementation.
Pytorch Image Captioning Tutorial
Learn to build an image captioning system from scratch using PyTorch, covering CNN and RNN implementation, training setup, and evaluation on the Flickr8k dataset.
Pytorch DCGAN Tutorial
Implement a DCGAN in PyTorch to generate new MNIST digits. Learn GAN fundamentals, architecture, and training techniques through hands-on coding and visualization.
How to Build a Raspberry Pi Pan Tilt Tracking - OpenCV AI Kit Tutorial - 2021
Build a Raspberry Pi pan-tilt tracking camera using OpenCV AI Kit. Learn hardware setup, coding, and dataset creation with Roboflow for real-time object detection and camera movement at 30 FPS.
How to Install Detectron2 for Computer Vision with OpenCV Python - Part 2
Step-by-step guide to installing Detectron2 for computer vision projects using OpenCV and Python, covering essential requirements, software setup, and testing procedures.
ChatGPT with Arduino and ESP32 - C++ and MicroPython Coding
Explore AI-assisted coding for Arduino and ESP32 using ChatGPT. Learn to create projects like temperature meters, WiFi scanners, and web servers in C++ and MicroPython.
Arduino Robot Car with Speed Sensors - Using Arduino Interrupts
Build a 2WD robot car with speed sensors using Arduino interrupts. Learn to assemble the chassis, integrate optical sensors, and program for speed and distance measurement. Ideal for beginners and advanced hobbyists.
Raspberry Pi Cameras - The Big Picture
Comprehensive guide to Raspberry Pi cameras: selection, installation, usage, and comparison. Covers command-line and Python programming, GUI options, repairs, and performance tests across various models.
New Approaches to Image and Video Reconstruction Using Deep Learning
Explore cutting-edge deep learning techniques for image and video enhancement, including colorization and resolution improvement, using efficient PyTorch-based tools trainable on a single GPU.