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learningwithpython's Introduction

(Deep) Learning With Python

Morning

Neural network basics

Mini-Project: Implement a feedforward neural network

Mini-Project: Implement gradient descent in Tensorflow to train a logistic regression model

Break

Theory and practice

Mini-Project: Build and train a neural network in Tensorflow to predict Higgs boson

Afternoon

Image processing

What is MNIST? What is CIFAR?

Loading images and converting them to numpy

What is Keras? Creating a basic model, Callbacks, saving/loading a model, changing optimizer, loss (30 minutes)

Mini-Project: Train a feed forward NN on MNIST/CIFAR10 with Keras

Preprocessing images: Scaling

Mini-Project: Train a feed forward NN on MNIST/CIFAR10 with Keras with scaling

Preprocessing images: Data augmentation and generators with Keras

Mini-Project: Train a feed forward NN on MNIST/CIFAR10 using data augmentation with Keras

Break

Convolutional neural networks

Convolutional NN, Pooling

How to build a CNN in Keras

Mini-Project: Train CNN on MNIST/CIFAR10

learningwithpython's People

Contributors

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