Learn to build AI apps with Tensorflow.
Build, train, and optimize deep neural networks and dive deep into Computer Vision, Natural Language Processing, and Time Series Analysis, along with best practices and hands-on experience in one of the most in-demand deep learning frameworks.
Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for computer vision applications. Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout. Build natural language processing systems using TensorFlow. Apply RNNs, GRUs, and LSTMs as you train them using text repositories.
Data Science
Free
Laurence Moroney
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