• Join CraxPro and earn real money through our Credit Rewards System. Participate and redeem credits for Bitcoin/USDT. Start earning today!
    Read the detailed thread here

Deep Learning - Artificial Neural NetWorks with Tensorflow

Currently reading:
 Deep Learning - Artificial Neural NetWorks with Tensorflow

0dayhome

Member
Amateur
LV
4
Joined
Nov 21, 2024
Threads
2,006
Likes
15
Awards
9
Credits
9,131©
Cash
0$

5ec4aca16678a1a6edd07edee2f72f32.jpg

Deep Learning - Artificial Neural Networks with Tensorflow
Duration: 4h 47m | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.07 GB
Genre: eLearning | Language: English​

TensorFlow is the world's most popular library for deep learning, and it is built by Google. It is the library of choice for many companies doing AI and machine learning. So, if you want to do deep learning, you got to know TensorFlow.

In this course, you will learn how to use TensorFlow 2 to build deep neural networks. We will first start by learning the basics of machine learning, classification, and regression. Then in the next section, we will understand the connection between artificial neural networks and biological neural networks and how that inspires our thinking in the field of deep learning.

In the last two sections, you will learn about loss functions to understand mean squared error, binary cross entropy, and categorical cross entropy and gradient descent to understand stochastic gradient descent, momentum, variable and adaptive learning rates, and Adam optimization.

By the end of this course, we will have understood how to use TensorFlow for artificial neural networks in deep learning.

What You Will Learn
Understand what machine learning is
Build linear models with TensorFlow 2
Learn how to build deep neural networks with TensorFlow 2
Learn how to perform image classification and regression with ANN
Learn loss functions such as mean-squared error and cross-entropy loss
Learn about stochastic gradient descent, momentum, and Adam optimization
Audience
This course is designed for anyone interested in deep learning and machine learning, anyone who wants to implement deep neural networks in TensorFlow 2, or anyone interested in building a foundation for convolutional neural networks, recurrent neural networks, LSTMs (Long Short Term Memory), and transformers.

One must have decent Python programming skills and should be comfortable with data science libraries such as NumPy and Matplotlib.

C6amms0w_o.jpg


Fikper
Code:
https://fikper.com/0SM2bDe6EC/Deep.Learning.-.Artificial.Neural.Networks.with.Tensorflow.rar.html
FileAxa
Code:
https://fileaxa.com/n51x32ekqqvw/Deep.Learning.-.Artificial.Neural.Networks.with.Tensorflow.rar
RapidGator
Code:
https://rapidgator.net/file/58bf3bdbeca18b9ff5ff411235682fab/Deep.Learning.-.Artificial.Neural.Networks.with.Tensorflow.rar
TurboBit
Code:
https://turbobit.net/uyxis4c8p8mm/Deep.Learning.-.Artificial.Neural.Networks.with.Tensorflow.rar.html
 

Create an account or login to comment

You must be a member in order to leave a comment

Create account

Create an account on our community. It's easy!

Log in

Already have an account? Log in here.

Tips

Similar threads

Top Bottom