Develop a thorough understanding of TensorFlow for deep learning principles.
For building Deep Learning models, Google introduced the TensorFlow framework. Artificial neural networks are a key component of the deep learning class of machine learning models. Tensorflow Deep Learning - Data Science in Python online certification is developed by Minerva Singh- Instructor & Data Scientist and is offered by Udemy for candidates who want to master the concepts involved with TensorFlow for data science operations using python programming.
Tensorflow Deep Learning - Data Science in Python online course contains 7 hours of video-based lessons supported by 3 articles and 45 downloadable resources to provide candidates a thorough understanding of statistical modeling, data visualization, machine learning, and fundamental deep learning using the Tensorflow framework in Python. By the end of the Tensorflow Deep Learning - Data Science in Python online training, candidates will be able to use packages such as Numpy, Pandas, and Matplotlib to collaborate with actual data in Python.
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Udemy
After completing the Tensorflow Deep Learning - Data Science in Python certification course, candidates will acquire a solid understanding of the fundamentals of deep learning with TensorFlow for data science using python programming. In this deep learning course, candidates will explore the functionalities of Anaconda, and iPython, as well as will acquire the knowledge of the concepts involved with machine learning, statistical modeling, linear regression, neural network modeling, supervised learning, and unsupervised learning. In this deep learning certification, candidates will also learn about the strategies to work with neural networks including artificial neural networks and convolutional networks.
Ms Minerva Singh Data Scientist Udemy
Other Masters, Ph.D, M.Phil.
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