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IBM

강의 계획 - 이 강좌에서 배울 내용

1

1

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Introduction

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4개 동영상 (총 24분), 1 개의 읽기 자료, 4 개의 테스트
4개의 동영상
Introduction to TensorFlow7m
Introduction to Deep Learning2m
Deep Neural Networks11m
1개의 읽기 자료
Syllabus10m
1개 연습문제
Deep Neural Networks and TensorFlow30m
2

2

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Supervised Learning Models

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3개 동영상 (총 22분)
3개의 동영상
Convolutional Neural Networks (CNNs) for Classification4m
Convolutional Neural Networks (CNNs) Architecture13m
1개 연습문제
Convolutional Neural Networks30m
3

3

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Supervised Learning Models (Cont'd)

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4개 동영상 (총 22분)
4개의 동영상
Recurrent Neural Networks (RNNs)5m
The Long Short Term Memory (LSTM) Model5m
Language Modelling7m
1개 연습문제
Recurrent Neural Networks30m
4

4

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Unsupervised Deep Learning Models

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2개 동영상 (총 10분)
2개의 동영상
Restricted Boltzmann Machines (RBMs)5m
1개 연습문제
Restricted Boltzmann Machines30m

검토

BUILDING DEEP LEARNING MODELS WITH TENSORFLOW의 최상위 리뷰

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IBM AI Engineering 전문 자격증 정보

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning. You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders. By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer....
IBM AI Engineering

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