Deep Learning for Realtime Malware Detection
Explore an ensemble deep learning model for real-time malware detection, combining CNN, LSTM, and NLP techniques to analyze domain names and identify potential threats with high accuracy.
Finding Vulnerabilities in TensorFlow
Explore vulnerabilities in TensorFlow through advanced fuzzing techniques, focusing on deep issues hidden in complex code logic and semantic contexts beyond traditional API fuzzing methods.
AI Inference on the Edge Cloud Using WebAssembly
Explore WebAssembly-based AI inference on edge cloud, covering Tensorflow approaches and performance gains. Learn about future prospects for edge AI using WebAssembly.
Audio Classification with Machine Learning
Learn practical techniques for audio classification using machine learning, including spectrograms, CNNs, and transfer learning. Explore applications in speech, music, medical diagnostics, and more using Keras and TensorFlow.
Stereoscopic Style Transfer AI - Art is not what you see?
Explore real-time style transfer in VR, transforming environments into 3D artworks. Learn deep learning techniques for applying artistic styles to live video feeds using OpenCV and TensorFlow.
Using Kubernetes for Machine Learning Frameworks
Learn to leverage Kubernetes for training and deploying machine learning models using TensorFlow, Apache MXNet, and PyTorch. Explore isolation, auto-scaling, and GPU support for efficient ML workflows.
Tensorflow and Deep Learning - Without a PhD
Comprehensive introduction to TensorFlow and deep learning, covering neural networks, convolutional networks, regularization techniques, and practical applications in image and language processing.
Serverless Machine Learning - A Beginner's Guide
Discover how serverless technology simplifies machine learning, from training to prediction. Learn to create a complete ML pipeline without extensive background knowledge or infrastructure management.
Making Android Apps with Intelligence
Explore integrating machine learning services into Android apps for features like emotion recognition, speech processing, and face detection, without deep ML expertise.
Tensorflow, Deep Learning and Modern Convolutional Neural Nets, Without a PhD
Explore modern convolutional neural networks and deep learning with TensorFlow. Learn practical tips, engineering best practices, and recent advances in image recognition without needing a PhD.
From Tic Tac Toe to AlphaGo - Playing Games with AI and Machine Learning
Explore AI's evolution from simple games to complex challenges like Go, delving into algorithms, neural networks, and breakthroughs that led to AlphaGo's triumph over human champions.
Machine Intelligence at Google Scale
Explore Google's scalable machine learning infrastructure, including pre-trained APIs and distributed training with TensorFlow, accelerating custom model development by 10x-40x.
From 0 to Deep Learning in 3 Hours
Comprehensive introduction to neural networks and deep learning, covering fundamentals, practical applications, and implementation using popular libraries like TensorFlow and Keras.
OpenCV e TensorFlow in pratica
Identificazione e classificazione di oggetti in video utilizzando OpenCV e TensorFlow, con focus su implementazione pratica, scalabilità e soluzioni per il salvataggio dei dati.
Deep Learning - The Future of Artificial Intelligence
Explore deep learning's impact on AI, current capabilities, and future potential. Learn about tools like TensorFlow and Microsoft Cognitive Toolkit for creating advanced machine learning models.
Tensorflow and Deep Reinforcement Learning, Without a PhD
Explore TensorFlow and deep reinforcement learning, covering neural network architectures, recent advances, and practical applications in image recognition, NLP, and AI game-playing.
From Big Data Mess to Data as an Innovation Enabler
Explore OLX Group's data journey: collecting billions of events, designing cloud architecture, ensuring secure access, and driving innovation with ML tools for a platform rivaling Twitter's user base.
TensorFlow in the Wild - or the Democratization of Machine Learning
Explore TensorFlow's impact on democratizing machine learning, its applications, and how it combines with Google Cloud to make AI accessible to everyone.
Machine Learning with TensorFlow and Google Cloud
Explore TensorFlow and Google Cloud for machine learning applications through a hands-on example, covering data ingestion, neural network training, and prediction on real datasets.
Machine Learning with TensorFlow
Introductory talk on TensorFlow, demonstrating how to create a simple neural network and use Google Cloud Machine Learning API for training and real-time predictions.
Machine Learning - Your First Steps
Introduction to machine learning basics, platforms like Watson and TensorFlow, and their relation to big data and AI. Explores fundamental concepts and applications in this emerging field.