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In this session, we’ll explain how Deep Learning differs from traditional Machine Learning and how it can help you solve complex problems such as computer vision or natural language processing. Then, using Python code, we’ll run some examples using popular libraries like TensorFlow, Keras, Apache MXNet and PyTorch. Finally, we’ll demonstrate how you can achieve excellent results quickly by using state-of-the-art pre-trained models. Code: For more content, follow
