21.11.2024
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Master deep learning in Python with TensorFlow 2: Apply neural networks to solve real-world data science challenges
What you get:
What you get:
What you get:
Industry leaders and professionals globally rely on this top-rated course to enhance their skills.
Machine and deep learning are some of those quantitative analysis skills that differentiate the data scientist from the other members of the team. Not to mention that the field of machine learning is the driving force of artificial intelligence. This course will teach you how to leverage deep learning and neural networks for the purposes of data science. The technology we employ is TensorFlow 2.0, which is the state-of-the-art deep learning framework.
1.1 Why machine learning
2.1 Introduction to neural networks
2.3 Training the model theory
2.5 Types of machine learning
2.7 The linear model
2.9 The linear model. Multiple inputs.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Level of difficulty: Advanced
A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.
A top-of-class graduate from Edinburgh, Caltech, and Oxford, Iskren is a true academic force with over 8 years of industry experience, from Junior Developer to Head of Research and Development. He holds numerous prestigious awards, including the Microsoft Research Award for best Informatics dissertation and the BSc Computer Science and Physics Class Prize for the highest mark in his degree program. Iskren’s research background in Quantum Computation and experience in machine learning have contributed greatly to 365’s Deep Learning and CNNs courses, as well as the upcoming RNNs course.
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