In this video, we will do a speed test to measure how much faster NumPy is than regular Python list in terms of the dot product.
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This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy,...

In this video, we will discuss Dot Product in NumPy.
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This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive into...

In this video, we will be comparing NumPy array to Python list.
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This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will...

In this video, we will have a quick overview of NumPy.
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This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive...

In this video, we will guide to the course resources.
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This clip is from the chapter "Welcome and Logistics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".Welcome to the course! In this...

In this video, we will understand classification.
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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, you will learn how to plot images.<br<br/>/>

This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will talk about Matplotlib.

I Read Fei-Fei Li's PhD Thesis | Dr. Fei-Fei Li, Stanford Professor, Co-Creator of ImageNet

Turns out making large machine learning datasets is pretty hard. Let's look at how one has evolved over the years!

How do you go from identifying a single method to building an entire system?<br/>
Understanding Human Psychology Through Robots with Prof. Angelo Cangelosi, Part 4

CNNs are a type of feedforward neural network in which the connectivity pattern between its neurons is based on the animal visual cortex. We will also see CNN architecture and convolution operations. • Look at CNNs and drawbacks of...

Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in...

From the section: Deep Learning and Tensorflow: Part 2. In this section, we’ll talk about what CNNs is, and how it works.<b<br/>r/>

Deep Learning and Tensorflow: Part 2: [Activity] Improving our CNN's Topology and with Max Pooling

This video explains about edge detection.<br<br/>/>

This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.

This video explains about parametric shape detection.<br<br/>/>

This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.

This video provides an introduction to object detection.
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This clip is from the chapter "Object Detection" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the methods of...

This video explains about filters padding strides.
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This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep...

This is a solution video on extending to multiple layers.
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This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient...

This video talks about convolution revisited.
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This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep...

This video explains the LeNet.<br<br/>/>

This clip is from the chapter "Classical CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on classical CNNs.

This video explains about the AlexNet.<br<br/>/>

This clip is from the chapter "Classical CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on classical CNNs.

In this video, we will have a quick Introduction to the learning goals for this section.
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This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in...

This video explains the YOLO algorithm.<br<br/>/>

This clip is from the chapter "YOLO" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on YOLO (You Only Live Once).

This video explains why we need convolution.
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This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep...