sjchoi86/Tensorflow-101
Jupyter Notebook tutorials covering TensorFlow basics, deep learning models (CNN, RNN), and ML fundamentals.
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A collection of TensorFlow tutorials for beginners covering fundamental ML concepts including linear and logistic regression, multi-layer perceptrons, convolutional neural networks, and recurrent neural networks. The notebooks use TensorFlow and cover areas like MNIST classification, image processing, and custom dataset generation.