Tensorflow is the most starred Machine Learning library on github (last checked on 2nd October 2018) and is generally considered most battle tested library for Machine Learning in prduction! With this repository we are assimilating its knowledge at one single place.
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Directory structure we will be following is:
TensorFlow-Tuts
|---datasets
| |---Dataset for every notebook will be in separate folder
|---notebooks
| |---01-TensorFlowBasics.ipybn
| |---other notebooks...
Note: Datasets folder will be gitignored.
| S.No. | Notebook link | What it has in store? |
|---|---|---|
| 1. | 01.TensorflowBasics.ipynb | Simple tensorflow examples with differentiation between Static and Dynamic Graphs |
| 2. | 02.SingleLayerNN.ipynb | Train a single layered linear model for MNIST dataset |
| 3. | 03.GradientDescentAndVariants.ipynb | Work with various variants of Gradient Descent |
| 4. | 04.Tf-keras-API.ipynb | Have a look at Keras API |
| 5. | 05.ConvolutionalNets.ipynb | Learn about how CNNs work |
Want to make this project better? Do you feel it misses something? That's great! Fork it and make PRs.
Never made a Pull Request (PR) before? Don't worry just follow this small and awesome tutorial - first-contributions