In this lesson, you will learn to connect Amazon Lambda with Amazon Lex. Amazon Lambda helps with the validation and fulfillment of the chatbot. You will learn about the steps involved in performing the connectivity.

In this video, we will look at inheritance in Java, where we have a superclass and a derived class, which inherits the attributes from the parent class.

In this video, we will explore advanced ways to create neural networks using TensorFlow.
<
br/>
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 about ReLU, SoftMax, and Cross Entropy.
<
br/>
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 quick introduction to activation functions for deep learning neural networks.
<
br/>
This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of the series "Deep Learning -...

In this video, we will write a program in Python to understand linear separation of data.
<
br/>
This clip is from the chapter "Deep Neural Networks" of the series "Deep Learning - Crash Course 2023".In this section, we will try to...

In this video, we will be introduced to probability and random variables.<br<br/>/>

This clip is from the chapter "Basic Probability" of the series "Deep Learning - Crash Course 2023".In this section, we will talk about probability.

In this video, you will learn how to download the UCI heart disease dataset.
<
br/>
This clip is from the chapter "Sigmoid Neuron Implement with Python" of the series "Deep Learning - Crash Course 2023".In this section, you will...

In this video, we will build a program in Python to implement Sigmoid Neuron.
<
br/>
This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with...

In this video, we will discuss our program goal that we will be building in the next video.
<
br/>
This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our...

In this video, you will learn about gradient descent.<br<br/>/>

This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.

In this video, you will learn how to manually fit data.<br<br/>/>

This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.

In this video, you will learn about the MP Neuron model, also called McCulloch Pitts model.
<
br/>
This clip is from the chapter "MP Neuron Model" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how...

In this video, you will learn about loss functions.
<
br/>
This clip is from the chapter "Getting the Basics Right" of the series "Deep Learning - Crash Course 2023".In this section, you will learn some basic terms used in deep...

In this video, we will briefly cover models in deep learning.
<
br/>
This clip is from the chapter "Getting the Basics Right" of the series "Deep Learning - Crash Course 2023".In this section, you will learn some basic terms used in...

In this video, you will learn about Sigmoid intuition.<br<br/>/>

This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.

In this video, we will be introduced to Sigmoid Neuron.<br<br/>/>

This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.

In this video, we will walk through the process of creating our own MP Neuron class in Python from scratch. By the end of this section, you will have a solid understanding of how to implement this fundamental concept in deep learning....

In this video, you will learn about loss and finding parameters.
<
br/>
This clip is from the chapter "MP Neuron Model" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to build neural networks...

In this video, you will learn how to create Contour plots.
<
br/>
This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course 2023".In this section, we will have a quick...

In this video, we will understand the most popular plotting library in Python called Matplotlib and learn about plotting.
<
br/>
This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning -...

In this video, we will understand what functions and classes are in Python.
<
br/>
This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our...

In this video, you will learn two more terms related to deep learning called learning algorithms and model performance.
<
br/>
This clip is from the chapter "Getting the Basics Right" of the series "Deep Learning - Crash Course...

This video provides an overview about IO (Input/Output).<br<br/>/>

This clip is from the chapter "Build Your Own IO" of the series "Supercharge Scala Future | FP-Tower".This section focuses on building your own IO (Input/Output).