In this video, we will understand more about Adam optimization.
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This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section,...

In this video, we will talk about Adam optimization, get introduced to Adam, and understand its basics.
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This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with...

In this video, we will discuss variable and adaptive learning rates.
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This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional...

In this video, you will learn about momentum.
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This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive deeper...

In this video, you will learn about stochastic gradient descent.
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This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section,...

In this video, we will get introduced to gradient descent.
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This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we...

In this video, you will learn about categorical cross entropy, which is used in multiclass classification.
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This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks...

In this video, you will learn about binary cross entropy, which is the correct loss function to use for binary classification.
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This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial...

In this video, we will understand MSE (Mean Squared Error) from a probabilistic perspective.
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This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with...

In this video, we will understand how to choose hyperparameters.
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This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...

In this video, we will understand regression in ANN.
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This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will...

In this video, we will work on image classification with the MNIST dataset.
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This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In...

In this video, we will work with the MNIST dataset and ANN code preparation.
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This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In...

In this video, we will discuss data and understand how to represent images.
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This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In...

In this video, you will learn about multiclass classification.
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This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section,...

In this video, you will learn about activation functions.
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This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we...

In this video, we will understand the geometrical picture by understanding why neural networks are so important instead of a single neural network.
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This clip is from the chapter "Feedforward Artificial Neural Networks" of the...

In this video, you will learn about forward propagation as it is related to neural networks.
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This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks...

In this video, we will get introduced to artificial neural networks.
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This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...

In this video, we will have a look at the suggestion box where we can add feedback for this course.
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This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with...

In this video, we will understand why we use Keras in this course and not TensorFlow 2.
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This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with...

In this video, you will learn how to save a model and then load it later.
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This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...

In this video, we will be talking about another important part of creating a model, which is making predictions.
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This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural...

In this video, we will understand how a model "learns".
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This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will cover a...