Linking pages
- TensorFlow Tensors(What are Tensors: Understanding the Basics, Creating, and Working with Tensors) https://www.machinelearningnuggets.com/tensorflow-tensors-what-are-tensors-understanding-the-basics-creating-and-working-with-tensors/ 1 comment
- How to build TensorFlow models with the Keras Functional API (Examples, code, and notebook) https://www.machinelearningnuggets.com/tensorflow-keras-functional-api/ 0 comments
- LSTM in JAX & Flax (Complete example with code and notebook) https://www.machinelearningnuggets.com/jax-flax-lstm/ 0 comments
- Flax vs. TensorFlow https://www.machinelearningnuggets.com/flax-vs-tensorflow/ 0 comments
- Handling state in JAX & Flax (BatchNorm and DropOut layers) https://www.machinelearningnuggets.com/handling-state-in-jax-flax-batchnorm-and-dropout-layers/ 0 comments
- Train ResNet in Flax from scratch(Distributed ResNet training) https://www.machinelearningnuggets.com/resnet-flax/ 0 comments
- Gradio tutorial (Build machine learning applications) https://www.machinelearningnuggets.com/gradio-tutorial/ 0 comments
- How to create custom training loops in Keras https://www.machinelearningnuggets.com/keras-custom-training-loops/ 0 comments
- How to build artificial neural networks with Keras and TensorFlow https://www.machinelearningnuggets.com/how-to-build-artificial-neural-networks-with-keras-and-tensorflow/ 0 comments
- JAX (What it is and how to use it in Python) https://www.machinelearningnuggets.com/what-is-jax/ 0 comments
- How to build CNN in TensorFlow(examples, code, and notebooks) https://www.machinelearningnuggets.com/cnn-tensorflow/ 0 comments
Linked pages
- http://pixabay.com 135 comments
- Download Python | Python.org https://www.python.org/downloads/ 65 comments
- Matplotlib — Visualization with Python http://matplotlib.org/ 46 comments
- pandas - Python Data Analysis Library http://pandas.pydata.org/ 34 comments
- NumPy https://numpy.org 17 comments
- SciPy http://www.scipy.org/ 14 comments
- scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation http://scikit-learn.org/ 13 comments
- Installation — Anaconda documentation https://docs.anaconda.com/anaconda/install/ 4 comments
- Installation - pip documentation v23.2 https://pip.pypa.io/en/stable/installation/#compatibility 0 comments
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