Implement intelligent systems and enhance algorithms to achieve higher levels of accuracy with deep learning in Python a
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Deep learning is the next big thing. Its favorable results in applications with huge and complex data is remarkable. Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python. Developers can apply deep learning techniques to accomplish complex machine learning tasks, and train AI networks to develop deep levels of perceptual recognition.
This comprehensive 2-in-1 course will help you explore and create intelligent systems using deep learning techniques. You’ll understand the usage of multiple applications like Natural Language Processing, bioinformatics, recommendation engines, etc. where deep learning models are implemented. You’ll get hands on with various leep learning scenarios and get powerful insights from your data.
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