00-how-a-network-learns.png
00-lining-up-dot-products.png
00-matrix-multiply-crop.gif
00-scalar-vector-matrix-tensor.png
01-input-and-output-shapes-housing-prices.png
02-anatomy-of-a-confusion-matrix.png
02-fashion-mnist-learning.png
02-improving-a-model-from-model-perspective.png
02-learning-rate-vs-loss.png
02-tensorflow-playground-replication-exercise.png
02-tensorflow-playground-simple-net-linear-activation.png
02-tensorflow-playground-two-layer-net-relu-activation.png
04-different-kinds-of-transfer-learning.png
04-tensorflow-hub-efficientnetb0.png
05-data-augmentation-inside-a-model.png
05-fine-tuning-an-efficientnet-model.png
06-lowering-the-learning-rate.png
06-ml-serial-experimentation.png
07-mixed-precision-code-before-and-after.png
07-mixed-precision-speedup-equals-3x-gpu.png
07-prefetching-from-hands-on-ml.png
08-RNN-architecture-coloured-block-edition.png
08-USE-tensorflow-hub-encoder-decoder-model.png
08-example-nlp-problems.png
08-ideal-performance-speed-of-pred-tradeoff-highlighted.png
08-ideal-position-for-speed-performance-tradeoff.png
08-inputs-and-outputs-with-shapes-and-models-were-going-to-build.png
08-tensorboard-dense-model-training-curves.png
08-text-classification-inputs-and-outputs.png
08-tokenization-vs-embedding.png
09-engineered-features-at-test-time.png
09-model-tf-hub-USE-to-dense-layer.png
09-skimlit-overview-input-and-output.png
09-token-vs-character-embeddings.png
10-bitcoin-forecast-in-seq2seq-terms.png
10-bitcoin-price-window-for-one-month.png
10-ensemble-model-example.png
10-example-time-series-problems.png
10-figure-1-nbeats-paper-annotated.png
10-nbeats-architecture-double-residual-stacking.png
10-nbeats-basic-block-replication-with-tensorflow-layer-subclassing.png
10-nbeats-stack-model-vs-nbeats-architecture.png
10-nbeats-table-18-hyperparameters.png
10-prediction-intervals-from-ubers-uncertainty-measures.png
10-prediction-loop-for-forecasts.png
10-the-turkey-problem.png
10-time-series-train-test-split.png
10-time-series-windows-and-horizons.png
10-types-of-time-series-patterns.png
10-univariate-and-multivariate-time-series-data.png
11-daniel-bourke-tensorflow-developer-certification-network.png
11-daniel-bourke-tensorflow-developer-certification.png
11-getting-example-script-to-run-in-pycharm.png
11-map-the-skills-checklist-to-a-notebook.png
misc-run-notebook-in-google-colab.png
misc-tensorflow-deep-learning-outline.png
misc-tensorflow-developer-certificate-closing.png
misc-tensorflow-workflow-outline.png
00_tensorflow_fundamentals.ipynb
01_neural_network_regression_in_tensorflow.ipynb
02_neural_network_classification_in_tensorflow.ipynb
03_convolutional_neural_networks_in_tensorflow.ipynb
05_transfer_learning_in_tensorflow_part_2_fine_tuning.ipynb
06_transfer_learning_in_tensorflow_part_3_scaling_up.ipynb
07_food_vision_milestone_project_1.ipynb
08_introduction_to_nlp_in_tensorflow.ipynb
09_SkimLit_nlp_milestone_project_2.ipynb
10_time_series_forecasting_in_tensorflow.ipynb
11_passing_the_tensorflow_developer_certification_exam.md
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