Machine Learning is an area where there is a marriage between technology and science. It is the field of study where an individual is able to train a machine to perform tasks through learned behaviour. The first step is to teach a machine how to go work using data and models known as algorithms. Today machine learning is one of the hottest career options out there.
Basic operations, constants, variables | ML with Scikit-Learn, Keras, and TensorFlow |
Basics of machine learning with TensorFlow | Recurrent Neural Networks |
Beyond RNNs: Transformer, Tensor2Tensor | Reinforcement Learning in TensorFlow |
Computer Vision, NLP, and Sequence modelling | Run existing TensorFlow.js models |
Control dependencies | Seq2seq with Attention |
Convnet in TensorFlow | TensorBoard |
Convolutional Neural Networks | TensorFlow to build basic models |
Data pipeline | TensorFlow's Optimizers |
Deep Learning with JavaScript | Variable sharing and managing experiments |
Linear and Logistic Regression in TensorFlow.js | Variational Auto-Encoders |
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