The key advancement in the field of artificial intelligence is Neural Networks, yet most people don’t understand how they really work!
Join us on 13th of June to demystify the black box of Neural Networks and break them into bits and pieces. We’ll start by defining Deep Learning and then explain its basic unit, Neural Networks: what are they, what’s the intuition behind them, why now, how they learn, etc.
This is a technical workshop, so expect to get your hands dirty with Python. You will build your first Neural Network using the most common deep learning framework, TensorFlow.
MAKE SURE to register: https://ihjoz.com/events/4654-intro-to-deep-learning-with-tensorflow
We will solve two Examples:
This example builds a model to predict the median price of homes in a Boston suburb during the mid-1970s. To do this, we'll provide the model with some data points about the suburb, such as the crime rate and the local property tax rate.
We train a neural network model to classify images of clothing, like sneakers and shirts.
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Slides can be found here: https://drive.google.com/file/d/1Dk0vLxE4r-pMGe-ys4bTIfYsmk9EmprP/view?usp=sharing
Code (with blanks) on Google Colab can be found here: https://colab.research.google.com/drive/1ZoK_UI4unnBJwBj_pimq4TlTG37ntz_X
Complete code (with solutions) can be found here: https://colab.research.google.com/drive/1zoynwe4ZPDIpuE1uWV7-Z-Wz6GLgo-U6
To edit the code, click File then Save a copy in Drive…
Happy coding 💻
Live Love AI 😍
This workshop was prepared and presented by Obeida ElJundi