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Build, Train, and Deploy Models with TensorFlow

Talks on implementing neural networks with the Keras API, managing production MLOps with TFX, and serving models at scale. For developers building real-world ML systems.

01:37 MIN

Exploring the TensorFlow library and tensor data structures

Machine learning in the browser with TensorFlowjs

05:11 MIN

Visualizing relationships in a vector space

What comes after ChatGPT? Vector Databases - the Simple and powerful future of ML?

02:07 MIN

Tooling, hiring, and how to get involved

Developing an AI.SDK

01:47 MIN

Accelerating deep learning with cuDNN and Cutlass

Accelerating Python on GPUs

03:01 MIN

Visualizing product relationships with embedding projector

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)

02:40 MIN

Move data augmentation from the CPU to the GPU

30 Golden Rules of Deep Learning Performance

01:45 MIN

Implementing the end-to-end MLOps pipeline

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)

01:28 MIN

Real-world applications of TensorFlow.js in production

Machine learning in the browser with TensorFlowjs

01:22 MIN

Deciding between pre-trained and custom vision models

Computer Vision from the Edge to the Cloud done easy

03:02 MIN

Key benefits of using the DeepFace library

Unboxing the DeepFace

08:11 MIN

Q&A on data, learning resources, and algorithms

Machine Learning in ML.NET

07:08 MIN

Developing models with the Platform for AI (PAI)

Alibaba Big Data and Machine Learning Technology

02:53 MIN

Building neural networks with the Kotlin DL library

The best of both worlds: Combining Python and Kotlin for Machine Learning

00:44 MIN

Key takeaways from the machine learning journey

Mastering Image Classification: A Journey with Cakes

11:33 MIN

Four methods for creating or acquiring ONNX models

Making neural networks portable with ONNX

01:45 MIN

Q&A: Advantages of scikit-learn over other libraries

Overview of Machine Learning in Python

02:10 MIN

Providing a simplified lab environment for data scientists

Industrializing your Data Science capabilities

01:40 MIN

Running the server and demonstrating the API

Build your backend using FastAPI

07:44 MIN

Training a pointwise ranker from pairwise review data

Ranking Amazon Reviews by Quality with Pointwise Ratings learned from Pairwise Data

01:46 MIN

Frameworks and resources for building GNNs

Graph Neural Networks: What’s behind the Hype?

03:26 MIN

Prepare your data efficiently before training begins

30 Golden Rules of Deep Learning Performance

02:23 MIN

Conclusion and further learning resources

Machine learning in the browser with TensorFlowjs

02:52 MIN

The need for better tooling to accelerate ML research

What do language models really learn

01:57 MIN

Using C-Cloudy AI kernels for generative AI performance

Unleashing the Full Potential of the Arm Architecture – Write Once, Deploy Anywhere

01:25 MIN

Implementing the prediction model with TensorFlow.js

Build UIs that learn - Discover the powerful combination of UI and AI

01:57 MIN

The future of ML in quantum computing and biology

Getting Started with Machine Learning

02:27 MIN

Recap and audience questions on FastAPI

Build your backend using FastAPI

01:34 MIN

Compile Python code into a graph with the tf.function decorator

30 Golden Rules of Deep Learning Performance

02:03 MIN

Live demo and limitations of data-driven models

Deepfakes in Realtime - How Neural Networks Are Changing Our World

03:55 MIN

Exploring central server and edge deployment options

DevOps for Machine Learning

02:09 MIN

Shrink model size and improve speed with quantization

30 Golden Rules of Deep Learning Performance

06:29 MIN

Building a custom convolutional neural network that failed

Mastering Image Classification: A Journey with Cakes

03:31 MIN

Q&A on machine learning and qubit interaction

Schroedinger's cat: Thinking in- and outside the box of quantum mechanics

01:47 MIN

Comparing TensorFlow.js backends for performance

From ML to LLM: On-device AI in the Browser

01:18 MIN

Key takeaways and resources for getting started with TensorFlow.js

Is it (F)ake?! Image Classification with TensorFlow.js

04:38 MIN

Loading and visualizing car data with TensorFlow.js

Machine learning in the browser with TensorFlowjs

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