Pupil outcome: I can represent a 3-digit number up to 199. Key learning points: - Numbers can be written as digits. - Numbers can label a set of objects. - Numbers can label a position on a number line or scale.

In this video, Pong the panda shares his wisdom on encouragement and positivity. He emphasizes the importance of finding joy in everything we do and infecting others with optimism. Pong tells a heartwarming story of friendship and how...

Sichuan Province, China:"We will finish in Asia, where we will visit the Chinese province of Sichuan. There, we will walk along the pedestrian street Jinli and try some spicy soup. Finally, we will enjoy a 'beautiful experience' in the...

Guess What I Am while developing basic English reading skills.

In this video, we will work on text classification with LSTMs.
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This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Recurrent Neural Networks with TensorFlow".In this section, we...

Learn to install the essential Python libraries for financial analysis, including NumPy, SciPy, Matplotlib, Pandas, IPython, Theano, and TensorFlow. This video will provide the necessary setup to use these popular Python libraries for...

In this video, we will conduct a pairs trading test to validate the performance and effectiveness of our strategy with ChatGPT into specific techniques and statistical tests to evaluate the performance of our pairs trading strategy...

In a machine, it understands values in the form of numbers. You will learn how to convert non-numeric data to numeric without changing the feature of the value.
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This clip is from the chapter "Random Forest Step-by-Step" of...

This is a continuation of the previous lesson, and here we will look at conditionally selecting values from a dataset.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest...

This video introduces us to Pandas data structures and analysis tools, which help make data easy to handle and intuitive.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...

In this lab, we will deploy the final solution for fraud detection using Workflow and App Engine. By the end of this lab, you will have a better understanding of how to use Workflow and App Engine to deploy machine learning solutions...

In this video, you will learn about subclassing in TensorFlow, which allows us to create custom layers and models.
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This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In...

In this video, we will explore advanced ways to create neural networks using TensorFlow.
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This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn...

In this video, you will learn how to solve a regression problem using the Boston housing dataset.
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This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you...

In this video, you will learn how to implement the multi-class classification model using Keras.
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This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you...

In this video, you will learn about ReLU, SoftMax, and Cross Entropy.
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This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to implement...

In this video, we will have a look at different types of problems like multi-class classification and regression.
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This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In...

In this video, we will revisit the code and understand some Keras basics. Additionally, you will find a deep learning neural networks assignment in the code bundle.
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This clip is from the chapter "Applying Deep Learning" of...

In this video, we will be introduced to shallow learning.
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This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to implement deep learning...

In this video, we will look at the common network configuration that we will be using whenever performing the common deep learning task.
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This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of...

In this video, we will have an in-depth look at different activation functions provided in the TensorFlow library using Google Colab.
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This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of...

In this video, we will have a quick introduction to activation functions for deep learning neural networks.
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This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of the series "Deep Learning -...

In this video, we will summarize the key concepts covered in the section and prepare for the next section of the course.
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This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning - Crash...

In this video, we will evaluate the performance of the trained neural network using various performance metrics and techniques.
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This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning -...