Hello Peeps! Welcome to the next lecture on deep learning, where we are discussing TensorFlow in detail. You have seen why we have chosen TensorFlow for this course, and we have read a lot about the working mechanism, programming languages, and advantages of using TensorFlow instead of other libraries. Instead of using the other options for the same purpose, we have seen several reasons to use TensorFlow. Because of the latest work on the library for more improvement and better results, it's now time to learn the specifics of TensorFlow installation. But before this, you have to check the list of the concepts that will be cleared today:
Is Installation of TensorFlow Difficult?
The simple and to-the-point answer to this question is, the installation is easy and usually does not require ...
Hi learners! I hope you are having a good day. In the previous lecture, we saw Kohonen’s neural network, which is a modern type of neural network. We know that modern neural networks are playing a crucial role in maintaining the workings of multiple industries at a higher level. Today we are talking about another neural network named EfficientNet. It is not only a single neural network but a set of different networks that work alike and have the same principles but have their own specialized workings as well.
EfficentNet is providing groundbreaking innovations in the complex fields of deep learning and computer vision. It makes these fields more accessible and, therefore, enhances their range of practical applications. We will start with the introduction, and then we will share some usefu ...
Hello Learners! Welcome to the next lecture on deep learning. We have read the detailed introduction to deep learning and are moving forward with the introduction of the neural network. I am excited to tell you about the neural network because of the interesting and fantastic applications of neural networks in real life. Here are the topics of today that will be covered in this lecture:
What do we mean by the neural network?
How can we know about the structure of the neural network?
What are the basic types of neural networks?
What are some applications of these networks?
Give an example of a case where we are implementing neural networks.
Artificial intelligence has numerous features that make it special and magical in different ways, and we will be exploring many of them in dif ...
Hello students, welcome to the second tutorial on deep learning in the first one, we have learned the simplest but basic introduction of deep learning to have a solid base about what we are actually going to do with deep learning. In the present lecture, we will take this to the advanced level and will learn the introduction with the intention of learning more and more about the introduction and understanding what we want to learn and how will we implement the concepts easily. So, here is a quick glance at the concepts that will be cleared today:
What do we mean by Deep learning?
What is the structure of calculation in neural networks?
How can you examine the Neural Networks?
What are some platforms of deep learning?
Why did we choose TensorFlow?
How can you work with TensorFlow?
...
Hello Learners! welcome from the team of The Engineering Projects. We hope you are having a productive day. We are working on a series of Blogs based upon the core knowledge about Digital Logic Gates and Circuits. In this tutorial, we'll know about the SR Flip Flops and after brief introduction we will simulate SR Flip Flops in Proteus. Let's have a glimpse on the topics of today:
What are Flip Flops?
What are the types of Flip Flop?
How does we design the Truth Table of SR Flip Flops?
What are further classes of SR Flip Flips?
Implementation of SR Flip Flops in Proteus.
Flip Flops
Flip Flops are extremely important Circuits of Digital Logic Design. We Introduce the Flip Flops as:
"Flip Flops are type of sequential Logic Circuit that co ...
Hi Learners! I hope you are having a productive Day. Welcome from the Team of The Engineering Projects. The digital logic circuit that we are learning today is 4-Bit Full Adder. In our previous tutorial, we designed 2-Bit Full Adder using Logic Gates in Proteus software. Today, we are going to design & simulate 4-Bit Full Adder using Logic Gates in Proteus.
We will discuss the following topics in today's lecture:
What is Adder?
What is Full Adder?
Working Principle of 4-bit Full Adder.
Simulation of four-bit full Adder in Proteus ISIS.
What is Adder?
Let's recall the Adder Definition from our previous lectures:
Adders are Digital Logical Circuits, specially designed to add two or more binary numbers or bits.In the world o ...
Hey fellow! Welcome to the next episode of the Python series, where we are learning the basics of Python to implement them in deep learning. In the previous lecture, our focus was on string data types. With the practical implementation of TensorFlow, many interesting points were discussed in depth. I hope you completed the home task that I assigned you during that lecture. Today, we are moving forward with the next data type, which is a sequence. You will know the different sub-groups of this data type as well in the next lecture, but today, the focus will be totally on the list because, once you understand them well, other data types of the sequence will be at your fingertips. Yet before starting, it's time to look at the content that you will learn today:
What is a sequence?
How do you ...
Hey Geeks! Welcome to The Engineering Projects. We hope you are doing great. MOSFET is a predominant component widely used in electronics due to its performance. We are working on the Projects of MOSFET and today's experiment is really interesting. We are working on the MOSFET Gate Driver and we will work on the following concepts:
Introduction to MOSFET Gate Driver.
Circuit of MOSFET Gate Driver.
Working of MOSFET Gate Driver.
Simulation of MOSFET Gate Driver in Proteus.
Applications of MOSFET Gate Driver.
You will find important information about the topic in DID YOU KNOW sections.
Introduction to MOSFET Gate Driver
We all know MOSFET is a type of transistor and is used in a wide range of circuits. It has many interesting features and ...
Hello students! Welcome to the next episode of NumPy, where we are working more on arrays in detail. NumPy is an important library for Python, and for concepts like integer arrays, it has many useful built-in functions that help programmers a lot. In the previous lecture, the installation and basic functions were discussed and this time, our focus is on the general operations and types of arrays that usually the programmers need during the coding. It is an interesting and basic lecture, and you will learn the following concepts in this lecture:
What are some important types of arrays?
Why are we using NumPy for arrays?
What are zero arrays?
What is the random array?
How can we use the ones array using NumPy?
Is it easy to perform the identity array in Numpy?
Practically perform the ...
Hello! I hope you are doing great. Today, we will talk about another modern neural network named gated recurrent units. It is a type of recurrent neural network (RNN) architecture but is designed to deal with some limitations of the architecture so it is a better version of these. We know that modern neural networks are designed to deal with the current applications of real life; therefore, understanding these networks has a great scope. There is a relationship between gated recurrent units and Long Short-Term Memory (LSTM) networks, which has also been discussed before in this series. Hence, I highly recommend you read these two articles so you may have a quick understanding of the concepts.
In this article, we will discuss the basic introduction of gated recurrent units. It is better ...
