Deep Learning: Convolutional Neural Networks in Python
Use CNNs for Image Recognition, Natural Language Processing (NLP) +More! For Data Science, Machine Learning, and AI
What you’ll learn
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Understand convolution and why it’s useful for Deep Learning
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Understand and explain the architecture of a convolutional neural network (CNN)
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Implement a CNN in TensorFlow 2
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Apply CNNs to challenging Image Recognition tasks
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Apply CNNs to Natural Language Processing (NLP) for Text Classification (e.g. Spam Detection, Sentiment Analysis)
Requirements
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Basic math (taking derivatives, matrix arithmetic, probability) is helpful
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Python, Numpy, Matplotlib
Who this course is for:
- Students, professionals, and anyone else interested in Deep Learning, Computer Vision, or NLP
- Software Engineers and Data Scientists who want to level up their career
