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76
The Challenges of Implementing Matlab® 
Computer Systems Laboratory Colloquium (2007-2008) (Stanford) Stanford Matthew Papakipos Applied Sciences
77
The PeakStream Platform for Many-Core Computing 
Computer Systems Laboratory Colloquium (2007-2008) (Stanford) Stanford Matthew Papakipos Applied Sciences
78
The Role of Accelerated Computing in the Multi-Core Era
Computer Systems Laboratory Colloquium (2007-2008) (Stanford) Stanford Charles Moore Applied Sciences
79
The Search for Jim Gray 
Computer Systems Laboratory Colloquium (2007-2008) (Stanford) Stanford David J. Swatland Applied Sciences
80
Tracking the Internet into the 21st Century 
Computer Systems Laboratory Colloquium (2007-2008) (Stanford) Stanford Vint Cerf Applied Sciences
81
Construction of De Novo Biological Process Control Circuits 
Computer Systems Laboratory Colloquium (2009-2010) (Stanford) Stanford Susan Weininger Applied Sciences
82
DRAM Errors in the Wild A Large-Scale Field Study 
Computer Systems Laboratory Colloquium (2009-2010) (Stanford) Stanford Bianca Schroeder Applied Sciences
83
PortLand Scaling Data Center Networks to 100,000 Ports and Beyond
Computer Systems Laboratory Colloquium (2009-2010) (Stanford) Stanford Amin Vahdat Applied Sciences
84
Rethinking Time in Distributed Systems 
Computer Systems Laboratory Colloquium (2009-2010) (Stanford) Stanford Paul Borrill Applied Sciences
85
Self and Self Whys and Wherefores 
Computer Systems Laboratory Colloquium (2009-2010) (Stanford) Stanford David Unger Applied Sciences
86
Starting a Productivity Revolution in Parallel Computation
Computer Systems Laboratory Colloquium (2009-2010) (Stanford) Stanford Anwar Ghuloum Applied Sciences
87
Wave Glider An Autonomous Wave-Powered Sensor Platform
Computer Systems Laboratory Colloquium (2009-2010) (Stanford) Stanford Roger Hine Applied Sciences
88
Lecture 1 Introduction to Convolutional Neural Networks for Visual Recognition
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
89
Lecture 10 Recurrent Neural Networks
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
90
Lecture 11 Detection and Segmentation
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
91
Lecture 12 Visualizing and Understanding
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
92
Lecture 13 Generative Models
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
93
Lecture 14 Deep Reinforcement Learning
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
94
Lecture 15 Efficient Methods and Hardware for Deep Learning
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
95
Lecture 16 Adversarial Examples and Adversarial Training
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
96
Lecture 2 Image Classification
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
97
Lecture 3 Loss Functions and Optimization
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
98
Lecture 4 Introduction to Neural Networks
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
99
Lecture 5 Convolutional Neural Networks
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
100
Lecture 6 Training Neural Networks I
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences