Back to the future - Girl Code talks AI @ ING
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The document outlines a presentation on artificial intelligence (AI), discussing its definitions, applications, and potential impacts on society. Keynote speakers and a panel discuss topics ranging from the demystification of AI to practical demonstrations, such as a beginner's TensorFlow project. It emphasizes the importance of understanding AI's components, including machine learning and deep learning, while also addressing fairness, bias, and the responsibility of AI developers.
Back to the future - Girl Code talks AI @ ING
- 2. @GirlCodeNL /GirlCodeNL We are Girl Code katja kristin ineke@afkatja @kriepy @FYIneke
- 3. @GirlCodeNL /GirlCodeNL So, AI... This technology will enhance us. So instead of artificial intelligence, I think we'll augment our intelligence - Ginni Rometty The development of full artificial intelligence could spell the end of the human race - Stephen Hawking
- 4. @GirlCodeNL /GirlCodeNL Key note: Demystifying AI - Robots are coming - Flavia Sequeira Break Your first AI: demo of a beginner's TensorFlow project - Esther van der Giessen Panel discussion - Flavia Sequeira, Bidisha Agarwal, Jana Brummel and Esther van der Giessen Snacks and drinks! Program
- 7. What is AI?
- 8. What is AI > The Future
- 9. What is AI > Part of Everyday Life
- 11. What is AI > Science Fiction
- 13. General AI
- 17. Narrow AI
- 18. smart algorithms, machine learning, deep learning, neural networks, regression, supervised learning, unsupervised learning
- 19. natural language processing, computer vision, face recognition, character recognition, intelligent assistants, fraud detection, predictions
- 23. "AI is whatever hasn't been done yet." - Teslers Theorem
- 24. What are possible applications?
- 26. Why now?
- 28. Deep Learning
- 29. Nvidia
- 30. Deep Networks
- 32. Whats under the hood?
- 34. Traditional Programming v.s. Machine Learning computer dataprogram output
- 35. if (outlook = ) AND (temperature = low) AND (windy = no) return play else if (outlook = ) AND (temperature = high) AND (windy = no) return no play else if (outlook = ) AND (temperature = high) AND (windy = no) return no play else if (outlook = ) AND (temperature = low) AND (windy = no) return play
- 36. Traditional Programming v.s. Machine Learning computer dataprogram output computer dataoutput program
- 37. collect select train test
- 38. What to watch out for?
- 39. fairness BIAS
- 40. is it real?
- 41. is it real?
- 42. coverage
- 44. Example cases
- 51. take X & add electricity
- 52. take X & add AI
- 53. @ernstnaezer @flaviasomething Robots are already here @flaviasomething
- 54. THANK YOU
- 55. Your first AI: demo of a beginner's TensorFlow project Esther van der Giessen
- 56. About me - B in Neuroscience - Programming courses in last year (3 years ago) - M in Artificial Intelligence - Developer in FinTech company
- 57. First AI - My First AI: - Kaggle competition: predict survivors titanic - - Your first AI: - Tensorflow - Image recognition
- 58. Machine Learning 1. Dataset 2. Train model 3. Make prediction 88% raspberry
- 59. Step 1: install TensorFlow - Go to: www.tensorflow.org/install/ - Go to guide of your operating system - Check Python requirements install python https://www.python.org/downloads/ - Mac: Python 2.7 or 3.3+, 64 bit - Windows: Python 3.5 or 3.6, 64 bit - Use Pip to install TensorFlow (CPU version)
- 60. TensorFlow Tutorials Image Recognition 1. Download document 2. Open terminal 3. Go to folder with file 4. Run python file 5. Output https://www.tensorflow.org/tutorials/image_recognition
- 61. Suggestions other first projects - Tensorflow: - Chatbot, speech recognition - Fancier image recognition: https://pythonprogramming.net/introduction-use-tensorflow-object-detection-api-tutorial/ - Datasets/competitions: www.kaggle.com - Youtube: Siraj Raval