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Learn the fundamentals of deep learning using real world solutions
What you'll learn
Learn the core concepts of deep Learning
Learn the structure of deep learning algorithms
Learn to build deep learning pipeline using Python and Tensorflow
Implement a neural network solution from ground up
Requirements
Basic knowledge of Python and machine learning algorithms is required to complete this course
Description
Do you want to accelerate your machine learning career with a new skill?We brought you the professional course on Deep Learning covering the latest concepts and skills required in the market today.In this course, you'll learn fundamental concepts of Deep Learning, including various Neural Networks designs and ingredients of deep learning algorithms. This course will help you learn how to implement a deep-learning pipeline using TensorFlow and Python.Deep learning is a very important aspect of machine learning. Deep learning is used for real-world scenarios such as object recognition, computer vision, image and video processing, text analytics, recommender systems, and other types of classifiers.Major Topics That This Deep Learning Course Covers!Introduction to the Structure of a DL ResearchBasic Ingredients of a Deep Learning AlgorithmImplementing DL Pipeline in TensorFlowDeep dive - NN designWhy Should You Learn The Deep Learning?Deep learning has got approval from all major business functions from customer service to cybersecurity and marketing. It's helping in the new age of personalization, fraud detection, forecasting, and even supply chain optimization.Perks Of Availing This Program!Get Well-Structured ContentStep-By-Step Building of Deep Learning Research StructureLearn From Industry ExpertsGet a Certificate of CompletionJoin...