| 1 - Overview of DLUT.mp4 | 73.2 MB | ||
| 10 - Deep Learning Neural Networks and its Layers.mp4 | 53.8 MB | ||
| 11 - Listing Directories.mp4 | 110.1 MB | ||
| 12 - Import Image Data Generator.mp4 | 72.1 MB | ||
| 13 - Advance Concept of Transfer Learning Part 1.mp4 | 140.3 MB | ||
| 14 - Advance Concept of Transfer Learning Part 2.mp4 | 78.9 MB | ||
| 15 - Advance Concept of Transfer Learning Part 3.mp4 | 69.1 MB | ||
| 16 - Introduction to Project.mp4 | 5.9 MB | ||
| 17 - Package Installation.mp4 | 81.4 MB | ||
| 18 - Load Data Pretrained Mode.mp4 | 96.1 MB | ||
| 19 - Train Model Fit Model.mp4 | 7.1 MB | ||
| 2 - Scenario of Perceptron.mp4 | 158 MB | ||
| 20 - Load Save Model.mp4 | 21.1 MB | ||
| 21 - Function to Predict.mp4 | 18.6 MB | ||
| 22 - Final Result.mp4 | 4 MB | ||
| 23 - Introduction to Tensorflow with Python.mp4 | 62.9 MB | ||
| 24 - Installation of Tensorflow.mp4 | 132.5 MB | ||
| 25 - Basic Data Types for Tensorflow.mp4 | 94.6 MB | ||
| 26 - Implementing Simple Linear Model.mp4 | 30.4 MB | ||
| 27 - Creating a Python File.mp4 | 45.7 MB | ||
| 28 - Optimization of Variable.mp4 | 91.8 MB | ||
| 29 - Implementing the Constructor Variable.mp4 | 65 MB | ||
| 3 - Creating Neural Network Using TensorFlow.mp4 | 72.4 MB | ||
| 30 - Printing the Variable Result.mp4 | 33.1 MB | ||
| 31 - Naming the Variable.mp4 | 45.3 MB | ||
| 32 - Introduction to Course.mp4 | 11.6 MB | ||
| 33 - Import the Libraries.mp4 | 32.7 MB | ||
| 34 - Accessing the Caption Dataset for Training.mp4 | 72.8 MB | ||
| 35 - Accessing the Image DataSet for Trainingb.mp4 | 15.6 MB | ||
| 36 - Preprocessing the Text Data.mp4 | 173.3 MB | ||
| 37 - PreProcess and Load Captions Data.mp4 | 84.3 MB | ||
| 38 - Loading the Captions for Training and Test Data.mp4 | 63 MB | ||
| 39 - Preprocessing of Image Data.mp4 | 43.8 MB | ||
| 4 - Perform Multiclass Classification.mp4 | 57.7 MB | ||
| 40 - Loading Features for Train and Test Dataset.mp4 | 108.9 MB | ||
| 41 - Text Tokenization and Sequence Text.mp4 | 55.8 MB | ||
| 42 - Data Generators.mp4 | 53.8 MB | ||
| 43 - Define the Model.mp4 | 34.8 MB | ||
| 44 - Evaluation of Model.mp4 | 51.4 MB | ||
| 45 - Test the Model.mp4 | 77.7 MB | ||
| 46 - Create Streamlit App.mp4 | 50.1 MB | ||
| 47 - Streamlit Prediction.mp4 | 30.5 MB | ||
| 48 - Test Streamlit App.mp4 | 24.6 MB | ||
| 49 - Deploy Streamlit on AWS EC2 Instance.mp4 | 95.3 MB | ||
| 5 - Initializing the Model.mp4 | 141.8 MB | ||
| 6 - Initializing the Model Continued.mp4 | 55 MB | ||
| 7 - Image Processing Using CNN.mp4 | 59 MB | ||
| 8 - Convolution Intuition.mp4 | 33.8 MB | ||
| 9 - Classifying the Photos of Dogs and Cats.mp4 | 84.2 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 51 total files | |||
Deep Learning: Neural Networks With Tensorflow
https://DevCourseWeb.com
Published 1/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.10 GB | Duration: 7h 27m
Master different concepts of Tensorflow with a step-by-step and project-based approach
What you'll learn
The Basics of Tensors and Variables with Tensorflow
Basics of Tensorflow and training neural networks with TensorFlow
Convolutional Neural Networks
Building more advanced Tensorflow models with Functional API, Model Subclassing and Custom Layers
Requirements
Mac / Windows / Linux - all operating systems work with this course!
No previous TensorFlow knowledge required. Basic understanding of Machine Learning is helpful
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 2.5 GB | freecoursewb | 3 months | 0 | 0 | |
| 4 GB | freecoursewb | 3 months | 24 | 10 | |
| 582.4 MB | freecoursewb | 6 months | 0 | 0 | |
|
Udemy - AWS Networking Deep-Dive Crash Course - Master VPC Essentials Posted by
freecoursewb in Other
|
1.8 GB | freecoursewb | 6 months | 4 | 2 |
| 1.7 GB | freecoursewb | 6 months | 5 | 1 |
All Comments