We'll learn together the fundamentals of ML and neural networks, after that we'll implement our own Neural network used in the problem of classification and compare it with a pre-trained model all of that using the TensorFlow library. TensorFlow is an open source software library for high-performance numerical computation. Its flexible architecture allows easy deployment of computation across a v
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We'll learn together the fundamentals of ML and neural networks, after that we'll implement our own Neural network used in the problem of classification and compare it with a pre-trained model all of that using the TensorFlow library.
TensorFlow is an open source software library for high-performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.
Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.
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