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Title: GitHub - jerodriguezc/AppliedDeepLearningClass: Class Applied Deep Learning - Summer 2018

Open Graph Title: GitHub - jerodriguezc/AppliedDeepLearningClass: Class Applied Deep Learning - Summer 2018

X Title: GitHub - jerodriguezc/AppliedDeepLearningClass: Class Applied Deep Learning - Summer 2018

Description: Class Applied Deep Learning - Summer 2018. Contribute to jerodriguezc/AppliedDeepLearningClass development by creating an account on GitHub.

Open Graph Description: Class Applied Deep Learning - Summer 2018. Contribute to jerodriguezc/AppliedDeepLearningClass development by creating an account on GitHub.

X Description: Class Applied Deep Learning - Summer 2018. Contribute to jerodriguezc/AppliedDeepLearningClass development by creating an account on GitHub.

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sa.angulo@uniandes.edu.co

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https://patch-diff.githubusercontent.com/jerodriguezc/AppliedDeepLearningClass#resources
Deep learninghttp://www.deeplearningbook.org/
Machine Learninghttps://fagonzalezo.github.io/ml-2018-1/
Deep Learning for Text Analysis and Understandinghttps://fagonzalezo.github.io/dl-tau-2017-2/
Representation Learning and Deep Learning Tutorialhttps://fagonzalezo.github.io/dl_tutorial_upv/
https://patch-diff.githubusercontent.com/jerodriguezc/AppliedDeepLearningClass#schedule
https://patch-diff.githubusercontent.com/jerodriguezc/AppliedDeepLearningClass#introduction-to-machine-learning-and-neural-networks
1 - Intro to MLhttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/01-IntroMachineLearning.ipynb
2 - Intro to Python for data analysishttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/02-IntroPython_Numpy_Scypy_Pandas.ipynb
3 - Linear Regressionhttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/03-linear_regression.ipynb
4 - Logistic Regressionhttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/04-logistic_regression.ipynb
E1 - Python&Pandashttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/exercises/E01-Python%26Numpy%26Pandas.ipynb
E2 - Regressionhttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/exercises/E02-Regression-IncomePrediction.ipynb
5 - Data preparation and model evaluationhttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/05-data_preparation_evaluation.ipynb
6 - Samplinghttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/06_Unbalanced_Datasets.ipynb
7 - Ensemble methodshttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/07_EnsembleMethods.ipynb
8 - Model deploymenthttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/08_Model_Deployment.ipynb
E3 - Cross Validationhttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/exercises/E03-CrossVal-CreditScoring.ipynb
E4 - Sampling and Ensembleshttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/exercises/E04-Sampling-RF-FraudDetection.ipynb
9 - Intro to NNhttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/09-Intro_Neural_Networks.ipynb
10 - Perceptron Traininghttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/10-Perceptron_Training.ipynb
11 - NN in Kerashttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/11-NN_in_Keras.ipynb
E5 - Neural Networkshttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/exercises/E05-neural%20networks.ipynb
https://patch-diff.githubusercontent.com/jerodriguezc/AppliedDeepLearningClass#introduction-to-deep-learning
12 - Intro to Deep Learninghttps://github.com/albahnsen/AppliedDeepLearningClass/blob/master/presentations/DL-introduction.pdf
13 - Intro to TensorFlowhttps://github.com/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/13-IntroTensorFlow.ipynb
14 - Deep Learning Frameworkshttps://fagonzalezo.github.io/dl-tau-2017-2/lecture4_slides.pdf
E6 - TensorFlow and Kerashttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/exercises/E06-TensorFlow-Keras.ipynb
https://patch-diff.githubusercontent.com/jerodriguezc/AppliedDeepLearningClass#deep-learning-for-image-analysis
15 - CNN training in Kerashttps://colab.research.google.com/drive/1Z6r82FlQTBXTh3GZCPc9LeZClxFVhcl_
P2 - Image Classification with CNNhttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/exercises/P2-ImageClassificationCNN.ipynb
16 - Convolutional Neural Networkshttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/16-CNN.ipynb
17 - Transfer Learninghttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/17-Transfer%20Learning.ipynb
E7 - Image Captioninghttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/exercises/E07-CNN_TransferLearning_CIFAR10.ipynb
18 - Generative Adversarial Networkshttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/18-GenerativeAdversarialNetworks.ipynb
https://patch-diff.githubusercontent.com/jerodriguezc/AppliedDeepLearningClass#deep-learning-for-text-analysis
19 - Intro to Natural Language Processinghttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/19-NLP.ipynb
E8 - Sentiment Classificationhttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/exercises/E08-SentimentPrediction.ipynb
20 - Recurrent Neural Network and LSTMhttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/20-RecurrentNeuralNetworks_LSTM.ipynb
21 - Word2Vechttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/notebooks/21-Word2vec.ipynb
E9 - Sequance Classification using LSTMhttp://nbviewer.jupyter.org/github/albahnsen/AppliedDeepLearningClass/blob/master/exercises/E09-LSTM_sentimentClassification.ipynb
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