Deep Learning - An Introduction
Explore neural networks, their algorithms, and practical applications in image recognition. Learn to implement and train deep learning models using DL4J, a Java library for Spark-based deep learning.
Deep Dive into Watson's Neural Networks
Explore Watson's neural networks, machine learning algorithms, and cognitive capabilities. Learn how Watson enables human-like conversations, deep searches, and continuous learning in AI platforms.
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.
Artificial Intelligence - The Near Future of Software Development
Explore AI's impact on software development, its applications, and future implications. Discuss recent breakthroughs, opportunities, and potential challenges in the field of artificial intelligence.
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.
Neural Networks - Walkthrough
Comprehensive walkthrough of neural networks with visual aids, demystifying concepts like 'tanh' and explaining how they work, suitable for beginners struggling with implementation.
Machine Learning Exposed - Deep and Reinforcement Learning
Gentle introduction to deep and reinforcement learning, exploring key concepts and providing intuition on underlying mathematics without requiring advanced calculus knowledge.
SoK - Cryptographic Neural-Network Computation
Explore cryptographic techniques for secure neural network computation, focusing on privacy-preserving methods and their applications in machine learning.
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.
NLP in Feedback Analysis
Explore cutting-edge NLP techniques for feedback analysis, including topic detection and sentiment analysis. Learn about word embedding, neural network models, and their real-world applications in text analytics.
Deep Learning in Computer Vision
Explore deep learning in computer vision, from basic concepts to advanced architectures. Learn to design networks that process images, solving complex problems with practical examples and expert insights.
The Future of Art
Explore the intersection of machine learning and creative arts, examining how AI collaborates with artists to produce innovative visual art and music, and its potential impact on the future of artistic expression.
Tensorflow, Deep Learning and Modern RNN Architectures - Without a PhD
Explore modern RNN architectures and deep learning techniques for image recognition, natural language processing, and reinforcement learning. Gain practical tips and engineering best practices for applying these advanced technologies.
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.
Image Recognition with Deep Learning - From Prototype to Production
Explore image recognition using deep learning, from prototype to production. Learn to develop and implement neural networks for clothing characteristic detection, with insights on training, deployment, and front-end integration.
The Next Generation of Mathematicians - In Training
Explore AI's progress in solving math problems and proving theorems, challenging the notion that human mathematicians are irreplaceable in this thought-provoking talk by a leading researcher.
Build a Q&A Bot with DeepLearning4J
Learn to build a neural network-powered Q&A chatbot using DeepLearning4J. Discover how to create, train, and implement AI for answering frequently asked questions without delving into complex mathematics.
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.
Computers are Stupid - Protecting "AI" from Itself
Explore AI security, adversarial learning, and ethical challenges in machine learning. Learn about vulnerabilities, biases, and privacy risks in AI systems, and potential solutions for robust and secure neural networks.