Download Udemy – Complete Tensorflow 2 and Keras Deep Learning Bootcamp 2020-1

Complete Tensorflow 2 and Keras Deep Learning Bootcamp

Description

Complete Tensorflow 2 and Keras Deep Learning Bootcamp is the name of a training course from Udemy that teaches how to use Python for deep learning with the help of Tensorflow 2 and Keras library. The purpose of this course is to familiarize you with how to use the TensorFlow 2 framework to build artificial neural networks and solve the complexities of this framework. Keras is a standard machine learning API used to build models.

During this training course, you will fully familiarize yourself with the TensorFlow 2 and Keras library and learn how to quickly build models with their help. In this course, you will create models for predicting house prices, classifying medical images, predicting future sales data, creating artificial texts, etc., and important topics such as neural networks, data visualization, and construction You learn artificial intelligence models.

Items taught in this course:

  • Teaching how to use TensorFlow 2.0 for deep learning
  • Keras API tutorial to quickly build models
  • Classification of images using convolutional neural network
  • Prediction of time series data
  • Text generation using RNN

Specifications of the Complete Tensorflow 2 and Keras Deep Learning Bootcamp course:

  • English language
  • Duration: 19 hours and 10 minutes
  • Number of courses: 115
  • Education level: Intermediate
  • Lecturer: Jose Portilla
  • File format: mp4

Course headings

115 lectures 19:10:59

Course Overview, Installs, and Setup
3 lectures 29:31

COURSE OVERVIEW CONFIRMATION
0 lectures 00:00

NumPy Crash Course
6 lectures 49:02

Pandas Crash Course
10 lectures 01:28:50

Visualization Crash Course
5 lectures 37:40

Machine Learning Concepts Overview
6 lectures 48:37

Basic Artificial Neural Networks – ANNs
27 lectures 05:01:21

Convolutional Neural Networks – CNNs
17 lectures 02:42:09

Recurrent Neural Networks – RNNs
14 lectures 02:35:22

Natural Language Processing
7 lectures 57:42

AutoEncoders
7 lectures 01:11:22

Generative Adversarial Networks
5 lectures 56:32

Deployment
8 lectures 01:32:51

Course prerequisites

  • Know how to code in Python
  • Some math basics such as derivatives

Pictures

Sample video

Installation guide

After extracting, watch with your favorite player.

English subtitle

Quality: 720p

download link

Download part 1 – 2 GB

Download part 2 – 2 GB

Download part 3 – 2 GB

Download part 4 – 206 MB

Password file(s): www.downloadly.ir

Size

6.20 GB

4.7/5 – (7274 points)

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