Correction: 4:12 The top line should not be there, as that integral diverges




Timestamps
0:0
0 - The pattern
4:45 - Mo
ving average analogy
10:41 - High-level o
verview of the connection
16:14 - What's coming...

Today we’re going to talk about how computers see. We’ve long known that our digital cameras and smartphones can take incredibly detailed images, but taking pictures is not quite the same thing. For the past half-century, computer...

This video explains VGG16 which is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition".
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In this video, we will have a quick recap on the convolution operation.
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This clip is from the chapter "CNN in PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, you will...

In this video, we will understand the course learning approach and what is required to start with this course. Then we will also understand what is covered in this course.
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This clip is from the chapter "Welcome" of the series...

In this video, we will introduce the author and understand the course learning objective.
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This clip is from the chapter "Welcome" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".Welcome to the...

In this video, we will understand from where we can learn more about Pandas.
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This clip is from the chapter "Pandas" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will...

In this video, we will move into action and work on text classification with CNNs.
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This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with...

In this video, we will understand how we can use CNNs for text sequences.
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This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...

In this video, you will learn how to improve CIFAR-10 results using data augmentation and batch normalization.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional...

In this video, you will learn how to view convolution as matrix multiplication.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with...

In this video, we will look at a new perspective on convolution to understand how it works.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks...

In this video, we will get introduced to the concept of convolution.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...

In this video, you will learn about batch normalization.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, we...

In this video, we will summarize our learning from this section.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we...

In this video, you will learn what other types of machine learning exist and some future topics that we can look forward to learning.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science...

In this video, we will understand how all machine learning interfaces are the same.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...

In this video, we will understand how all data is the same as all machine learning interfaces are the same.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy,...

In this video, we will understand that machine learning is nothing but a geometry problem and see how it works for classification and regression.
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This clip is from the chapter "Machine Learning Basics" of the series "Data...

In this video, you will learn about a feature vector.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover...

In this video, we will practice all that we have learnt in the previous video about regression.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas...

In this video, we will understand what regression is.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover...

In this video, we will practice all that we have learnt in the previous video about classification.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and...

In this video, we will understand what machine learning is and the learning objective of this section.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and...