Instructional Video3:22
Curated Video

Learn Java from Scratch - A Beginner's Guide - Step 12 - Understanding Spring IOC Container: Application Context and Bean Factory

Higher Ed
In this video, you will learn about the Spring container, including the Application Context and Bean Factory.
Instructional Video7:09
Curated Video

Deep Learning - Crash Course 2023 - Challenges in Creating Deep Neural Networks from Scratch

Higher Ed
In this video, we will discuss the challenges involved in creating deep neural networks from scratch. We will explore the common issues faced during the training process and learn how to overcome them. This clip is from the chapter...
Instructional Video14:13
Curated Video

Deep Learning - Crash Course 2023 - Going Deep into Neural Networks

Higher Ed
In this video, we will take a deep dive into neural networks and explore how to find the output for a deep neural network. This clip is from the chapter "Universal Approximation Theorem" of the series "Deep Learning - Crash Course...
Instructional Video9:34
Curated Video

Deep Learning - Crash Course 2023 - Linear Separation of Data

Higher Ed
In this video, we will write a program in Python to understand linear separation of data. This clip is from the chapter "Deep Neural Networks" of the series "Deep Learning - Crash Course 2023".In this section, we will try to understand...
Instructional Video7:11
Curated Video

Deep Learning - Crash Course 2023 - Loss Function and Parameter Update

Higher Ed
In this video, you will learn about the loss function and parameter update. This clip is from the chapter "Perceptron" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron.
Instructional Video4:09
Curated Video

Deep Learning - Crash Course 2023 - Perceptron Model and Its Representation

Higher Ed
In this video, you will learn more about the Perceptron model and understand its representation. This clip is from the chapter "Perceptron" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron.
Instructional Video6:41
Curated Video

Deep Learning - Crash Course 2023 - MP Neuron Introduction

Higher Ed
In this video, you will learn about the MP Neuron model, also called McCulloch Pitts model. 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...
Instructional Video5:27
Curated Video

Deep Learning - Crash Course 2023 - Sigmoid Neuron Introduction

Higher Ed
In this video, we will be introduced to Sigmoid Neuron. 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.
Instructional Video3:44
Curated Video

Deep Learning - Crash Course 2023 - Perceptron Limitations

Higher Ed
In this video, we will have a quick recap of Perceptron limitations and learn how Sigmoid Neuron is useful. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin...
Instructional Video2:11
Curated Video

Deep Learning - Crash Course 2023 - Summary-1

Higher Ed
In this video, we will quickly summarize what we have learnt about MP Neuron. This clip is from the chapter "Summary of MP Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will consolidate our understanding...
Instructional Video4:07
Curated Video

Deep Learning - Crash Course 2023 - Intuition of Data

Higher Ed
In this video, we will have a brief overview of the data for MP intuition. 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...
Instructional Video4:25
Curated Video

Deep Learning - Crash Course 2023 - Contour Plots

Higher Ed
In this video, you will learn how to create Contour plots. 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 refresher on...
Instructional Video5:31
Curated Video

Deep Learning - Crash Course 2023 - Artificial Neural Networks

Higher Ed
In this video, you will learn about artificial neural networks. 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...
Instructional Video19:21
Curated Video

Supercharge Scala Future | FP-Tower - Console Exercises - Error Handling

Higher Ed
This video demonstrates how to take users’ input through the command line, making it more user-friendly using the error handling feature. This clip is from the chapter "Actions with Imperative Programming" of the series "Supercharge...
Instructional Video5:48
Curated Video

Fundamentals of Secure Software - Hashing Overview

Higher Ed
This video provides an introduction and overview of hashing.
Instructional Video5:26
Curated Video

Generative AI Art for Beginners - AI Theory 101

Higher Ed
In this video, we will dive into the theory behind AI, including Natural Language Processing (NLP), Machine Learning (ML), and supervised learning. We will also give you a quick introduction to GPT-3, the powerful AI language model that...
Instructional Video11:08
Curated Video

Deep Learning - Artificial Neural Networks with Tensorflow - ANN for Regression

Higher Ed
In this video, we will understand regression in ANN. 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 cover...
Instructional Video9:47
Curated Video

Deep Learning - Artificial Neural Networks with Tensorflow - The Geometrical Picture

Higher Ed
In this video, we will understand the geometrical picture by understanding why neural networks are so important instead of a single neural network. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series...
Instructional Video9:46
Curated Video

Deep Learning - Artificial Neural Networks with Tensorflow - Forward Propagation

Higher Ed
In this video, you will learn about forward propagation as it is related to neural networks. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with...
Instructional Video6:03
Curated Video

Deep Learning - Artificial Neural Networks with Tensorflow - Artificial Neural Networks Section Introduction

Higher Ed
In this video, we will get introduced to artificial neural networks. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we...
Instructional Video3:21
Curated Video

Data Science - Time Series Forecasting with Facebook Prophet in Python - Outline

Higher Ed
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. This clip is from the chapter "Welcome" of the series "Data...
Instructional Video4:03
Curated Video

CompTIA A+ Certification Core 1 (220-1101) - LCD Breakdown

Higher Ed
The Liquid Crystal Display (LCD) is the dominant technology for today's monitors. A good tech should possess a deep understanding of how LCDs work and how to open and repair an LCD monitor. This clip is from the chapter "Book Chapter 17...
Instructional Video3:56
Curated Video

Chatbots for Beginners: A Complete Guide to Build Chatbots - Project: Conversational Chatbot Development with Machine Learning: Greeting Function

Higher Ed
After setting everything up, we will now look at creating a few greeting inputs and a few greeting responses for the conversational chatbot to respond with. This clip is from the chapter "Basics of Chatbots with Machine Learning and...
Instructional Video5:54
Curated Video

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Machine Learning: Section Summary

Higher Ed
In this video, we will summarize our learning from this section. 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...