Deep Learning with Python

首先，在本课程中，我们将学习Python和Numpy库的一些基本知识。这些是我们深度学习之旅的第一步。之后，我们将对机器学习的历史进行一小段旅程。然后，我们将到达下一站。机器学习。在这里，我们学习机器学习的概念，机器学习的工作流程，模型和算法以及什么是神经网络概念。之后，我们到达下一站。人工神经网络。现在，我们的旅程变成了冒险。在这次冒险中，我们将进入Keras世界，然后我们退出Tensorflow世界。然后，我们将尝试了解卷积神经网络的概念。但是我们的旅程不会结束。然后我们将介绍递归神经网络和LTSM。我们将看看它们。一段时间后，我们将转到“转移学习”概念。然后我们到达最终目的地。项目。我们的游乐花园。在这里，我们将使用在旅途中获得的信息来构建一些有趣的机器学习模型。

Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | VTT | Size: 2.79 GB | Duration: 10h 58m

What you’ll learn
Fundamental stuff of Python and its library Numpy
What is the AI, Machine Learning and Deep Learning
History of Machine Learning
Turing Machine and Turing Test
The Logic of Machine Learning such as Machine Learning models and algorithms, Gathering data, Data pre-processing, Training and testing the model etc.
What is Artificial Neural Network (ANN)
Anatomy of NN
Tensor Operations
The Engine of NN
Keras
Tensorflow
Convolutional Neural Network
Recurrent Neural Network and LTSM
Transfer Learning

Description
Hello there,

Welcome to the “Deep Learning with Python” course.

In this course, we will learn what is Deep Learning and how does it work.

This course has suitable for everybody who interested in Machine Learning and Deep Learning concepts.

First of all, in this course, we will learn some fundamental stuff of Python and the Numpy library. These are our first steps in our Deep Learning journey. After then we take a little trip to Machine Learning history. Then we will arrive at our next stop. Machine Learning. Here we learn the machine learning concepts, machine learning workflow, models and algorithms, and what is neural network concept. After then we arrive at our next stop. Artificial Neural network. And now our journey becomes an adventure. In this adventure we’ll enter the Keras world then we exit the Tensorflow world. Then we’ll try to understand the Convolutional Neural Network concept. But our journey won’t be over. Then we will arrive at Recurrent Neural Network and LTSM. We’ll take a look at them. After a while, we’ll trip to the Transfer Learning concept. And then we arrive at our final destination. Projects. Our play garden. Here we’ll make some interesting machine learning models with the information we’ve learned along our journey.

In this course, we will start from the very beginning and go all the way to the end of “Deep Learning” with examples.

Before we start this course, we will learn which environments we can be used for developing deep learning projects.

During the course you will learn:

Fundamental stuff of Python and its library Numpy

What is the AI, Machine Learning, and Deep Learning

History of Machine Learning

Turing Machine and Turing Test

The Logic of Machine Learning such as

Understanding the machine learning models

Machine Learning models and algorithms

Gathering data

Data pre-processing

Choosing the right algorithm and model

Training and testing the model

Evaluation

Artificial Neural Network with these topics

What is ANN

Anatomy of NN

Tensor Operations

The Engine of NN

Keras

Tensorflow

Convolutional Neural Network

Recurrent Neural Network and LTSM

Transfer Learning

Finally, we will make four different projects to reinforce what we have learned.

Why would you want to take this course?

Our answer is simple: The quality of teaching.

When you enroll, you will feel the OAK Academy`s seasoned developers’ expertise.

Video and Audio Production Quality

All our videos are created/produced as high-quality video and audio to provide you the best learning experience.

You will be,

Seeing clearly

Hearing clearly

Moving through the course without distractions

You’ll also get:

Lifetime Access to The Course

Fast & Friendly Support in the Q&A section

Udemy Certificate of Completion Ready for Download

We offer full support, answering any questions.

If you are ready to learn “Deep Learning with Python”

Dive in now! See you in the course!

Who this course is for:
Anyone who has programming experience and wants to learn machine learning and deep learning.
Statisticians and mathematicians who want to learn machine learning and deep learning.
Tech geeks who curious with Machine Learning and Deep Learning concept.
Data analysts who want to learn machine learning and deep learning.
If you are one of these, you are in the right place. But please don’t forget. You must know a little bit of coding and scripting.
Anyone who need a job transition