PRIMO.ai

Overview

• Current State
• Case Studies
• Capabilities
• Journey to Singularity

Models

• Deep Learning Roadmap
• Deep Neural Networks
  • Convolutional Neural Networks
    • Residual Neural Networks (ResNet)
  • Generative Adversarial Networks (GANs)
  • Sequence to Sequence (Seq2Seq)
    • Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
    • Autoencoders / Encoder-Decoders
    • Attention Models

Techniques & Coding

• Data Preprocessing & Feature Exploration
• Activation Functions
• Optimizers
  • Backpropagation
  • Gradient Descent Optimization & Challenges
  • Parameter Initialization
• Pooling
• Hyperparameters
• Visualization
• Transfer Learning
• Competitions
• Repositories
• Python

Frameworks

• Frameworks Overview

TensorFlow

• TensorFlow
• TensorFlow.js
• TensorBoard

Other DL Frameworks

• Caffe / Caffe2
• Cognitive Toolkit (CNTK)
• gluon
• Keras
• MXNet
• theano
• PyTorch
• More Frameworks

Platforms: Machine Learning as a Service (MLaaS)

• Service Capabilities
• Other Platforms

Amazon AWS

• AWS with TensorFlow
• AmazonML
• Deep Learning Amazon Machine Image (DLAMI)
• DeepLens - deep learning enabled video camera
  • SageMaker
  • Amazon Polly
  • Amazon Rekognition

Microsoft Azure

• Azure Process
• Azure with TensorFlow
• ML Studio
• Cognitive Services

Google Cloud AI

• Google Cloud AI With TensorFlow
• ML Engine
• Prediction API
• Google Developers Codelabs

Research & Development

• Self Learning
• Explainable Artificial Intelligence
• Differentiable Neural Computer (DNC)
• Capsule Networks (CapNets)
• Messaging & Routing
• Deep Distributed Q Network Partial Observability
• Deep Reinforcement Learning
• Genetic Algorithms
• Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)
• 3D Simulation Environments
• Other Challenges

Other

• Courses
• History of AI
• Creatives
• The Deep Learning AI Playbook: Strategy for Disruptive Artificial Intelligence | Carlos E Perez
• Business-Centric Methodology
• Getting Started