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Description: "Deep Learning with TensorFlow" LiveLessons. Contribute to lippertr/TensorFlow-LiveLessons development by creating an account on GitHub.

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README.md	https://github.com/lippertr/TensorFlow-LiveLessons/blob/master/README.md
README.md	https://github.com/lippertr/TensorFlow-LiveLessons/blob/master/README.md
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book.jpg	https://github.com/lippertr/TensorFlow-LiveLessons/blob/master/book.jpg
README	https://github.com/lippertr/TensorFlow-LiveLessons
MIT license	https://github.com/lippertr/TensorFlow-LiveLessons
	https://github.com/lippertr/TensorFlow-LiveLessons#tensorflow-livelessons
Jon Krohn's	https://www.jonkrohn.com/
Deep Learning with TensorFlow	https://www.safaribooksonline.com/library/view/deep-learning-with/9780134770826/
here	https://medium.com/@jjpkrohn/filming-deep-learning-with-tensorflow-livelessons-for-oreilly-safari-50363ed4efad
Deep Learning for Natural Language Processing	https://www.safaribooksonline.com/library/view/deep-learning-for/9780134851921/
here	https://insights.untapt.com/deep-learning-for-natural-language-processing-tutorials-with-jupyter-notebooks-ad67f336ce3f
	https://github.com/lippertr/TensorFlow-LiveLessons#prerequisites
	https://github.com/lippertr/TensorFlow-LiveLessons#command-line
here	https://learnpythonthehardway.org/book/appendixa.html
	https://github.com/lippertr/TensorFlow-LiveLessons#python-for-data-analysis
data analyst path of DataQuest	https://www.dataquest.io/path/data-analyst
	https://github.com/lippertr/TensorFlow-LiveLessons#installation
installation directory	https://github.com/the-deep-learners/TensorFlow-LiveLessons/tree/master/installation
	https://github.com/lippertr/TensorFlow-LiveLessons#notebooks
this directory	https://github.com/the-deep-learners/TensorFlow-LiveLessons/tree/master/notebooks
Jupyter notebooks	http://jupyter.org/
Deep Learning with TensorFlow LiveLessons	https://www.safaribooksonline.com/library/view/deep-learning-with/9780134770826/
	https://github.com/lippertr/TensorFlow-LiveLessons#deep-learning-with-tensorflow-livelessons
	https://github.com/lippertr/TensorFlow-LiveLessons#lesson-one-introduction-to-deep-learning
	https://github.com/lippertr/TensorFlow-LiveLessons#11-neural-networks-and-deep-learning
	https://github.com/lippertr/TensorFlow-LiveLessons#12-running-the-code-in-these-livelessons
installation directory	https://github.com/the-deep-learners/TensorFlow-LiveLessons/tree/master/installation
step-by-step installation of TensorFlow on Mac OS X	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/installation/step_by_step_MacOSX_install.md
	https://github.com/lippertr/TensorFlow-LiveLessons#13-an-introductory-artificial-neural-network
shallow_net_in_keras.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/shallow_net_in_keras.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#lesson-two-how-deep-learning-works
	https://github.com/lippertr/TensorFlow-LiveLessons#21-the-families-of-deep-neural-nets-and-their-applications
	https://github.com/lippertr/TensorFlow-LiveLessons#22-essential-theory-i---neural-units
sigmoid_function.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/sigmoid_function.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#23-essential-theory-ii----cost-functions-gradient-descent-and-backpropagation
cross_entropy_cost.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/cross_entropy_cost.ipynb
softmax_demo.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/softmax_demo.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#24-tensorflow-playground----visualizing-a-deep-net-in-action
TensorFlow Playground	http://playground.tensorflow.org/
	https://github.com/lippertr/TensorFlow-LiveLessons#25-data-sets-for-deep-learning
	https://github.com/lippertr/TensorFlow-LiveLessons#26-applying-deep-net-theory-to-code-i
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	https://github.com/lippertr/TensorFlow-LiveLessons#lesson-three-convolutional-networks
	https://github.com/lippertr/TensorFlow-LiveLessons#31-essential-theory-iii----mini-batches-unstable-gradients-and-avoiding-overfitting
	https://github.com/lippertr/TensorFlow-LiveLessons#32-applying-deep-net-theory-to-code-ii
deep_net_in_keras.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/deep_net_in_keras.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#33-introduction-to-convolutional-neural-networks-for-visual-recognition
	https://github.com/lippertr/TensorFlow-LiveLessons#34-classic-convnet-architectures---lenet-5
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	https://github.com/lippertr/TensorFlow-LiveLessons#35-classic-convnet-architectures---alexnet-and-vggnet
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vggnet_in_keras.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/vggnet_in_keras.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#36-tensorboard-and-the-interpretation-of-model-outputs
	https://github.com/lippertr/TensorFlow-LiveLessons#lesson-four-introduction-to-tensorflow
	https://github.com/lippertr/TensorFlow-LiveLessons#41-comparison-of-the-leading-deep-learning-libraries
	https://github.com/lippertr/TensorFlow-LiveLessons#42-introduction-to-tensorflow
first_tensorflow_graphs.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/first_tensorflow_graphs.ipynb
first_tensorflow_neurons.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/first_tensorflow_neurons.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#43-fitting-models-in-tensorflow
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	https://github.com/lippertr/TensorFlow-LiveLessons#44-dense-nets-in-tensorflow
intermediate_net_in_tensorflow.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/intermediate_net_in_tensorflow.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#45-deep-convolutional-nets-in-tensorflow
lenet_in_tensorflow.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/lenet_in_tensorflow.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#lesson-five-improving-deep-networks
	https://github.com/lippertr/TensorFlow-LiveLessons#51-improving-performance-and-tuning-hyperparameters
	https://github.com/lippertr/TensorFlow-LiveLessons#52-how-to-built-your-own-deep-learning-project
	https://github.com/lippertr/TensorFlow-LiveLessons#53-resources-for-self-study
	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/book.jpg
Deep Learning for Natural Language Processing	https://www.safaribooksonline.com/library/view/deep-learning-for/9780134851921/
	https://github.com/lippertr/TensorFlow-LiveLessons#deep-learning-for-natural-language-processing
	https://github.com/lippertr/TensorFlow-LiveLessons#lesson-one-the-power-and-elegance-of-deep-learning-for-nlp
	https://github.com/lippertr/TensorFlow-LiveLessons#11-introduction-to-deep-learning-for-natural-language-processing
	https://github.com/lippertr/TensorFlow-LiveLessons#12-computational-representations-of-natural-language-elements
	https://github.com/lippertr/TensorFlow-LiveLessons#13-nlp-applications
	https://github.com/lippertr/TensorFlow-LiveLessons#14-installation-including-gpu-considerations
step-by-step installation of TensorFlow on Mac OS X	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/installation/step_by_step_MacOSX_install.md
Deep Learning with TensorFlow LiveLessons	https://github.com/the-deep-learners/TensorFlow-LiveLessons/#12-running-the-code-in-these-livelessons
	https://github.com/lippertr/TensorFlow-LiveLessons#15-review-of-prerequisite-deep-learning-theory
Deep Learning with TensorFlow LiveLessons	https://www.safaribooksonline.com/library/view/deep-learning-with/9780134770826/
	https://github.com/lippertr/TensorFlow-LiveLessons#16-a-sneak-peak
	https://github.com/lippertr/TensorFlow-LiveLessons#lesson-two-word-vectors
	https://github.com/lippertr/TensorFlow-LiveLessons#21-vector-space-embedding
	https://github.com/lippertr/TensorFlow-LiveLessons#22-word2vec
GloVe	https://nlp.stanford.edu/projects/glove/
	https://github.com/lippertr/TensorFlow-LiveLessons#23-data-sets-for-nlp
word2vec	https://code.google.com/archive/p/word2vec/
GloVe	http://nlp.stanford.edu/projects/glove/
resources page	https://www.jonkrohn.com/resources/
Zhang, Zhao and LeCun's	https://arxiv.org/pdf/1509.01626.pdf
labelled data	http://xzh.me/
Andrew Maas and his Stanford colleagues (2011)	http://ai.stanford.edu/~amaas/papers/wvSent_acl2011.pdf
	https://github.com/lippertr/TensorFlow-LiveLessons#24-creating-word-vectors-with-word2vec
Project Gutenberg	https://www.gutenberg.org/
bokeh	https://bokeh.pydata.org/en/latest/
creating_word_vectors_with_word2vec.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/creating_word_vectors_with_word2vec.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#lesson-three-modeling-natural-language-data
	https://github.com/lippertr/TensorFlow-LiveLessons#31-best-practices-for-preprocessing-natural-language-data
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	https://github.com/lippertr/TensorFlow-LiveLessons#32-the-area-under-the-roc-curve
	https://github.com/lippertr/TensorFlow-LiveLessons#33-dense-neural-network-classification
Deep Learning with TensorFlow LiveLessons	https://www.safaribooksonline.com/library/view/deep-learning-with/9780134770826/
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	https://github.com/lippertr/TensorFlow-LiveLessons#34-convolutional-neural-network-classification
convolutional_sentiment_classifier.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/convolutional_sentiment_classifier.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#lesson-four-recurrent-neural-networks
	https://github.com/lippertr/TensorFlow-LiveLessons#41-essential-theory-of-rnns
	https://github.com/lippertr/TensorFlow-LiveLessons#42-rnns-in-practice
rnn_in_keras.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/rnn_in_keras.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#43-essential-theory-of-lstms-and-grus
	https://github.com/lippertr/TensorFlow-LiveLessons#44-lstms-and-grus-in-practice
vanilla_lstm_in_keras.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/vanilla_lstm_in_keras.ipynb
gru_in_keras.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/gru_in_keras.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#lesson-five-advanced-models
	https://github.com/lippertr/TensorFlow-LiveLessons#51-bi-directional-lstms
bidirectional_lstm.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/bidirectional_lstm.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#52-stacked-lstms
stacked_bidirectional_lstm.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/stacked_bidirectional_lstm.ipynb
ye_olde_conv_lstm_stackeroo.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/ye_olde_conv_lstm_stackeroo.ipynb
	https://github.com/lippertr/TensorFlow-LiveLessons#53-parallel-network-architectures
multi_convnet_architectures.ipynb	https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/multi_convnet_architectures.ipynb
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