Deep Learning Coursera Specialization

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Product is rated as #3 in category Data Science
Learner rating9.6
Content rating9.7

Break into Artificial intelligence. Deep Learning Coursera Specialization will help you master it, understand how to apply it, and build a career in AI.


Deep Learning Coursera Specialization

If you want to break into AI, the Deep Learning Coursera specialization will help you do so. Deep Learning is one of the most highly sought-after skills in tech. This course will help you become good at Deep Learning.

Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. Where, a computer model learns to perform classification tasks directly from images, text, or sound. The learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. These models are trained by using a large set of labeled data and neural network architectures that contain many layers.

In a word, accuracy. Deep learning achieves recognition accuracy at higher levels than ever before. This helps businesses to meet user expectations, and it is crucial for safety-critical applications like driverless cars. Recent advances in deep learning have improved to the point where deep learning outperforms humans in some tasks like classifying objects in images (more on Deep learning).

Moreover, you would have heard about the Google technology Google Brain developed by Google team, it is based on deep learning artificial intelligence research. Formed in the early 2010s, Google Brain combines open-ended machine learning research with information systems and large-scale computing resources. The founder of Google brain is Andrew Ng, who is the tutor of this specialization on Coursera and Chief Scientist at Baidu Research that eventually resulted in the productization of deep learning technologies across a large number of Google services.

Andrew Ng, has spoken and written a lot about what deep learning is and is a good place to start. I am sure you would get more than you expect if enrolled in this course taught by Andrew Ng.

About Specialization

In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. Also, you will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory but also see how it is applied in industry. Get a chance to practice all these ideas in Python and in TensorFlow, which we will teach.

You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. The deep learning Coursera course will help you master Deep Learning, understand how to apply it, and build a career in AI.

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  • Coursera
  • deeplearning.ai
  • Microdegree
  • Self-paced
  • Intermediate
  • 3+ Months
  • Free Trial (Paid Course & Certificate)
  • English
  • Data Science Data Science with 'Python' Deep learning Machine learning TensorFlow
Expert Score
9.6
Learner rating
9.6
Content rating
9.7
PROS: Effective conceptualization on Neural Network and Deep Learning. The Hyper parameter explanations are excellent. Deeper insight into how to enhance your algorithm and neural network and improve its accuracy. Content delivery from a very experienced deep learning practitioner Overview of existing architectures and certain applications of CNN's
CONS: Need's organized structure of assignment & exercises Programming assignments are too simple. TensorFlow framework uses some different jargon that is not really explained

Description

Deep Learning Coursera Specialization

If you want to break into AI, the Deep Learning Coursera specialization will help you do so. Deep Learning is one of the most highly sought-after skills in tech. This course will help you become good at Deep Learning.

Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. Where, a computer model learns to perform classification tasks directly from images, text, or sound. The learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. These models are trained by using a large set of labeled data and neural network architectures that contain many layers.

In a word, accuracy. Deep learning achieves recognition accuracy at higher levels than ever before. This helps businesses to meet user expectations, and it is crucial for safety-critical applications like driverless cars. Recent advances in deep learning have improved to the point where deep learning outperforms humans in some tasks like classifying objects in images (more on Deep learning).

Moreover, you would have heard about the Google technology Google Brain developed by Google team, it is based on deep learning artificial intelligence research. Formed in the early 2010s, Google Brain combines open-ended machine learning research with information systems and large-scale computing resources. The founder of Google brain is Andrew Ng, who is the tutor of this specialization on Coursera and Chief Scientist at Baidu Research that eventually resulted in the productization of deep learning technologies across a large number of Google services.

Andrew Ng, has spoken and written a lot about what deep learning is and is a good place to start. I am sure you would get more than you expect if enrolled in this course taught by Andrew Ng.

About Specialization

In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. Also, you will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory but also see how it is applied in industry. Get a chance to practice all these ideas in Python and in TensorFlow, which we will teach.

You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. The deep learning Coursera course will help you master Deep Learning, understand how to apply it, and build a career in AI.

Specification:

  • Coursera
  • deeplearning.ai
  • Microdegree
  • Self-paced
  • Intermediate
  • 3+ Months
  • Free Trial (Paid Course & Certificate)
  • English
  • Data Science Data Science with 'Python' Deep learning Machine learning TensorFlow

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Deep Learning Coursera Specialization
Deep Learning Coursera Specialization
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