TensorFlow is an open source neural network library for Python and C++. It defines data flows as graphs with nodes representing operations and edges representing multidimensional data arrays called tensors. It supports supervised learning algorithms like gradient descent to minimize cost functions. TensorFlow automatically computes gradients so the user only needs to define the network structure, cost function, and optimization algorithm. An example shows training various neural network models on the MNIST handwritten digit dataset, achieving up to 99.2% accuracy. TensorFlow can implement other models like recurrent neural networks and is a simple yet powerful framework for neural networks.
The document discusses AI and law, providing more details and recent updates on the topic. It also provides information about Dentons, the world's largest law firm with over 3,000 lawyers in more than 80 locations in over 50 countries and a legacy dating back to 1742. It mentions NextLaw Labs, a business accelerator focused on investing in technologies to transform the practice of law.
The document discusses the development of IRACognizer software. It begins by explaining the IRAC method used in legal reasoning and provides an example. It then discusses the business model, which would offer both free and paid versions. The data sources would include legal documents from PACER, CAFC, and the USPTO. The software would use techniques like text processing, computer vision, and a reasoning engine. Development would focus on claim construction search and an iOS prototype. It concludes by discussing next steps like research on cognitive engines and an MVP.
TensorFlow is an open source neural network library for Python and C++. It defines data flows as graphs with nodes representing operations and edges representing multidimensional data arrays called tensors. It supports supervised learning algorithms like gradient descent to minimize cost functions. TensorFlow automatically computes gradients so the user only needs to define the network structure, cost function, and optimization algorithm. An example shows training various neural network models on the MNIST handwritten digit dataset, achieving up to 99.2% accuracy. TensorFlow can implement other models like recurrent neural networks and is a simple yet powerful framework for neural networks.
The document discusses AI and law, providing more details and recent updates on the topic. It also provides information about Dentons, the world's largest law firm with over 3,000 lawyers in more than 80 locations in over 50 countries and a legacy dating back to 1742. It mentions NextLaw Labs, a business accelerator focused on investing in technologies to transform the practice of law.
The document discusses the development of IRACognizer software. It begins by explaining the IRAC method used in legal reasoning and provides an example. It then discusses the business model, which would offer both free and paid versions. The data sources would include legal documents from PACER, CAFC, and the USPTO. The software would use techniques like text processing, computer vision, and a reasoning engine. Development would focus on claim construction search and an iOS prototype. It concludes by discussing next steps like research on cognitive engines and an MVP.
