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.
TensorFlow from the Ground Up - ML Tech Talks
Explore TensorFlow fundamentals: tensors, variables, gradients, modules, training loops, and tf.function. Ideal for those with ML basics seeking a deeper understanding of TensorFlow's core concepts.
Inside TensorFlow - Parameter Server Training
Explore parameter server training in TensorFlow for scaling model training across multiple machines, covering concepts, APIs, limitations, and future developments.
Inside TensorFlow- Building ML Infra
Explore research and engineering challenges in building machine learning infrastructure, focusing on TensorFlow runtime and optimization techniques for ML programs.
Inside TensorFlow - Quantization Aware Training
Learn quantization aware training in TensorFlow, covering fundamentals, APIs, and implementation. Optimize ML models with hands-on guidance from a Software Engineer.
Inside TensorFlow - New TF Lite Converter
Explore the new TF Lite Converter with Software Engineer Yu-Cheng Ling, covering its advantages, implementation, and transformation processes for efficient mobile deployment.
Inside TensorFlow - TF Debugging
Explore TensorFlow debugging techniques for TF 2 and TF 1, covering tensor value printing, device placement, graph visualization, and step debugging in Keras models.
Control of Transmon Qubits Using a Cryogenic CMOS Integrated Circuit
Explore cryogenic CMOS integrated circuits for controlling transmon qubits in quantum computing, focusing on scalable solutions for future fault-tolerant systems with millions of qubits.
Inside TensorFlow - TF-Agents
Explore TF-Agents, TensorFlow's reinforcement learning library, with experts demonstrating its capabilities, architecture, and applications in game playing, bandits, and recommender systems.
Inside TensorFlow - tf.data + tf.distribute
Explore best practices for tf.data and tf.distribute in TensorFlow, covering input pipelines, performance optimization, and distributed training strategies for multi-GPU and TPU setups.
Inside TensorFlow - TF Model Optimization Toolkit - Quantization and Pruning
Explore TensorFlow's Model Optimization Toolkit, focusing on quantization and pruning techniques to enhance model efficiency and performance in deep learning applications.
Inside TensorFlow - Eager Execution Runtime
Explore TensorFlow's eager execution runtime with Software Engineer Alex Passos, covering Python context, code generation, async mode, and multidevice calls.
Inside TensorFlow - MLIR for TF Developers
Explore MLIR, a multi-level intermediate representation compiler infrastructure, and its applications in TensorFlow development for improved reusability and abstraction.
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.
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.
TensorFlow Model Optimization - Quantization and Pruning
Explore TensorFlow model optimization techniques like quantization and pruning to enhance performance, reduce resource usage, and improve efficiency in machine learning applications.
TFX- Production ML Pipelines with TensorFlow
Explore TensorFlow Extended (TFX) for production ML pipelines, covering components, metadata storage, orchestration, and custom implementations for scalable and maintainable machine learning solutions.
TensorFlow Lite - Solution for Running ML On-Device
Explore TensorFlow Lite for efficient on-device ML inference, featuring low latency, high performance, and small binary size. Learn about mobile BERT, support libraries, and microcontroller applications.
Great TensorFlow Research Cloud Projects From Around the World
Explore exciting machine learning projects powered by TensorFlow Research Cloud's free Cloud TPUs. Learn how to access TFRC resources for your own research endeavors.
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.
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.