In this course I'm going to teach different machine learning algorithms and there implementation in TensorFlow.
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First thing you will learn is different deep learning algorithms like artificial neural network, convolutional nueral network and etc etc
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Next thing you are going to learn from this lecture series is how to use tensorflow so once we learn any algorithm we will try to do a project using that algorithm and for that we will be using the google colab so in a way you will learn how to use google colab, and there wont be any video explaining how to use google colab because that we will learn during the projects.
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01- Artificial Neural Network | Deep Learning with Tensorflow and Artificial Intelligence | 2020
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02- Convolutional Neural Network | Deep Learning with Tensorflow and Artificial Intelligence | 2020
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03- Batch Normalization Data Augmentation Deep Learning with Tensorflow and Artificial Intelligence
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04- Transfer Learning with CNNs | Deep Learning with Tensorflow and Artificial Intelligence | 2020
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05- Recurrent Neural Network | Deep Learning with Tensorflow and Artificial Intelligence | 2020
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06- LSTM | Deep Learning with Tensorflow and Artificial Intelligence | 2020