Deep Dive: Gradients in Ivy - Tutorial 20
Explore gradients in Ivy, mastering advanced techniques for deep learning and neural network optimization.
Deep Dive: Array API Tests in Ivy - Tutorial 14
Explore the Array API test suite integration in Ivy's testing pipeline, covering standard implementation, test execution, and skipping methods.
Machine Learning with Google Cloud Platform
Explore machine learning on Google Cloud Platform with Kaz Sato. Learn about powerful technologies enabling amazing features in Google services and their applications in cloud computing.
Fixing the Image Problems of the Web Using Machine Learning
Explore how machine learning can address web image issues, enhancing user experience and accessibility. Learn innovative techniques for optimizing visual content on the internet.
Deep Learning - What is it and What It Can Do For You
Explore deep learning fundamentals, architectures, and applications in AI, from basics to advanced concepts like CNNs and RNNs, with practical insights for implementation and future possibilities.
Modern Fraud Prevention Using Deep Learning
Explore deep learning techniques for modern fraud prevention, focusing on financial gain motivations and the spectrum of immoral to criminal practices in various cultures.
Machine Intelligence at Google Scale - Vision - Speech API
Explore Google's scalable Machine Learning solutions, including Vision and Speech APIs, TensorFlow, and Cloud ML. Learn about distributed training and pre-trained services for efficient AI development.
Machine Learning for Developers
Explore predictive capabilities and voice recognition for developers. Learn to build smart apps using AWS Machine Learning and Amazon Alexa, enabling voice-powered experiences and custom skills.
Is Your AI Plotting to Kill You? Why AI and Machine Learning Is Dangerous
Explore the dangers of AI and machine learning, including biased algorithms, deepfakes, and surveillance. Learn about current limitations and how to protect against potential risks.
Machine Learning - The Bare Math Behind Libraries
Explore the mathematical foundations of machine learning, from basic algorithms to neural networks. Gain insights to confidently select and optimize ML models for practical applications.
Faceswap - Developing a Platform for Practical Deepfakes
Explore AI-powered Deepfakes: technology, applications, ethics, and future. Learn about face detection, alignment, recognition, and image reconstruction using Python, Keras, and TensorFlow.
Deep Learning in Computer Vision
Explore deep learning in computer vision, from basic concepts to advanced architectures. Learn to design networks that understand images, with practical examples and expert insights.
Make Your IoT Even Smarter with TensorFlow Lite to Design the Future of Vertical Farming
Deploying TensorFlow Lite on IoT devices for smart vertical farming: optimizing plant growth, reducing latency, enhancing privacy, and enabling offline operation in areas with unreliable internet.
Composing Bach Chorales Using Deep Learning
Explore how deep learning algorithms can replicate Bach's musical creativity, bridging computational musicology with machine learning to generate chorales in the style of the Baroque master.
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.
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.
Use a Video to Create an AI Video - The Basics Using Stable Diffusion Deforum
Learn to transform videos using AI with Stable Diffusion Deforum 0.7. Step-by-step guide covers input selection, settings optimization, and rendering techniques for creating unique AI-generated videos.
3D AI Video Tutorial Part 2 - The Basics Stable Diffusion Deforum
Learn advanced 3D AI video creation techniques using Stable Diffusion Deforum 0.7. Master movement keys, keyframes, and settings to produce high-quality, coherent videos with precise timing and animations.
Inside TensorFlow - AutoGraph
Deep dive into AutoGraph implementation, usage, and pitfalls in TensorFlow. Explore function lifecycle, caching, overloading, Python scopes, debugging, control flow, and more advanced features.
Swift for TensorFlow - TF World '19
Explore Swift for TensorFlow, a cutting-edge ML platform integrating deep neural networks with AI algorithms and software development, enhancing research efficiency and speed.
Techniques to Work with Imbalanced Data for Machine Learning in Python
Learn 7 effective techniques to handle imbalanced datasets in machine learning, including sampling methods, algorithm selection, and synthetic data generation.