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| 001 Course Overview !.html | 1.7 KB | ||
| 1 | 204.8 B | ||
| 002 Introduction to Google Colab.en.srt | 5.5 KB | ||
| 002 Introduction to Google Colab.mp4 | 38.9 MB | ||
| 2 | 600.4 KB | ||
| 003 Links to TensorFlow Notebooks.html | 1.1 KB | ||
| 004 The Neuron.en.srt | 6.6 KB | ||
| 004 The Neuron.mp4 | 102.1 MB | ||
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| 5 | 12.6 KB | ||
| 005 Activation Function.en.srt | 9.5 KB | ||
| 005 Activation Function.mp4 | 156.6 MB | ||
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| 006 Cost Function.en.srt | 3 KB | ||
| 006 Cost Function.mp4 | 51.7 MB | ||
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| 007 Gradient Descent and Back-Propagation.en.srt | 4.5 KB | ||
| 007 Gradient Descent and Back-Propagation.mp4 | 75 MB | ||
| 008 Step 1 - Installation and Setup.mp4 | 31.4 MB | ||
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| 008 Step 1 - Installation and Setup.en.srt | 4.8 KB | ||
| 009 Step 2 - Data Preprocessing.en.srt | 21.2 KB | ||
| 009 Step 2 - Data Preprocessing.mp4 | 135.6 MB | ||
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| 010 Step 3 - Building the Model.en.srt | 10.8 KB | ||
| 010 Step 3 - Building the Model.mp4 | 73.9 MB | ||
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| 011 Step 4 - Training the Model.mp4 | 68.5 MB | ||
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| 011 Step 4 - Training the Model.en.srt | 10.2 KB | ||
| 012 Step 5 - Model evaluation and performance.en.srt | 9.7 KB | ||
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| 012 Step 5 - Model evaluation and performance.mp4 | 75.7 MB | ||
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| 013 Step 1 - Binary Classification.en.srt | 2.9 KB | ||
| 013 Step 1 - Binary Classification.mp4 | 21.3 MB | ||
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| 014 Step 2 - Binary Classification.en.srt | 24.1 KB | ||
| 014 Step 2 - Binary Classification.mp4 | 168.9 MB | ||
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| 015 Step 3 - Binary Classification.mp4 | 63.2 MB | ||
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| 017 Step 5 - Binary Classification.en.srt | 7.5 KB | ||
| 017 Step 5 - Binary Classification.mp4 | 56 MB | ||
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| 018 Convolutional Neural Network Part 1.en.srt | 5.4 KB | ||
| 018 Convolutional Neural Network Part 1.mp4 | 96.2 MB | ||
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| 019 Convolutional Neural Network Part 1.en.srt | 4.8 KB | ||
| 019 Convolutional Neural Network Part 1.mp4 | 81.1 MB | ||
| 020 Building Convolutional Neural Network Step 1.en.srt | 1.5 KB | ||
| 020 Building Convolutional Neural Network Step 1.mp4 | 10.7 MB | ||
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| 021 Building Convolutional Neural Network Step 2.mp4 | 56.1 MB | ||
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| 022 Building Convolutional Neural Network Step 3.en.srt | 12.8 KB | ||
| 022 Building Convolutional Neural Network Step 3.mp4 | 128.6 MB | ||
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| 023 Building Convolutional Neural Network Step 4.en.srt | 5.2 KB | ||
| 023 Building Convolutional Neural Network Step 4.mp4 | 38.5 MB | ||
| 024 Building Convolutional Neural Network Step 5.mp4 | 47.7 MB | ||
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| 024 Building Convolutional Neural Network Step 5.en.srt | 7.5 KB | ||
| 025 CNN for Binary Image Classification Step 1.en.srt | 2.3 KB | ||
| 025 CNN for Binary Image Classification Step 1.mp4 | 16.6 MB | ||
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| 026 CNN for Binary Image Classification Step 2.en.srt | 9.9 KB | ||
| 026 CNN for Binary Image Classification Step 2.mp4 | 80.4 MB | ||
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| 027 CNN for Binary Image Classification Step 3.mp4 | 95.3 MB | ||
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| 028 CNN for Binary Image Classification Step 4.en.srt | 10.7 KB | ||
| 028 CNN for Binary Image Classification Step 4.mp4 | 82.5 MB | ||
| 029 CNN for Binary Image Classification Step 5.en.srt | 5.9 KB | ||
| 029 CNN for Binary Image Classification Step 5.mp4 | 51.3 MB | ||
| 030 CNN for Digit Recognition Part 1.en.srt | 9.8 KB | ||
| 030 CNN for Digit Recognition Part 1.mp4 | 64.1 MB | ||
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| 031 CNN for Digit Recognition Part 2.en.srt | 7.8 KB | ||
| 031 CNN for Digit Recognition Part 2.mp4 | 64.3 MB | ||
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| 032 CNN for Digit Recognition Part 3.mp4 | 62.6 MB | ||
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| 033 CNN for Breast Cancer Detection Part 1.en.srt | 11.1 KB | ||
| 033 CNN for Breast Cancer Detection Part 1.mp4 | 96.8 MB | ||
| 034 CNN for Breast Cancer Detection Part 2.en.srt | 7 KB | ||
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| 034 CNN for Breast Cancer Detection Part 2.mp4 | 56.9 MB | ||
| 035 CNN for Breast Cancer Detection Part 3.en.srt | 5.2 KB | ||
| 035 CNN for Breast Cancer Detection Part 3.mp4 | 51 MB | ||
| 036 CNN for Predicting the Bank Customer Satisfaction Part 1.en.srt | 9.5 KB | ||
| 036 CNN for Predicting the Bank Customer Satisfaction Part 1.mp4 | 79.9 MB | ||
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| 037 CNN for Predicting the Bank Customer Satisfaction Part 2.en.srt | 19.4 KB | ||
| 037 CNN for Predicting the Bank Customer Satisfaction Part 2.mp4 | 142.1 MB | ||
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| 038 CNN for Predicting the Bank Customer Satisfaction Part 3.mp4 | 85.4 MB | ||
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| 039 CNN for Predicting the Bank Customer Satisfaction Part 4.en.srt | 7.3 KB | ||
| 039 CNN for Predicting the Bank Customer Satisfaction Part 4.mp4 | 62.5 MB | ||
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| 040 CNN for Credit Card Fraud Detection Part 1.en.srt | 9.2 KB | ||
| 040 CNN for Credit Card Fraud Detection Part 1.mp4 | 85.5 MB | ||
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| 041 CNN for Credit Card Fraud Detection Part 2.en.srt | 13.2 KB | ||
| 041 CNN for Credit Card Fraud Detection Part 2.mp4 | 101.6 MB | ||
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| 042 CNN for Credit Card Fraud Detection Part 3.en.srt | 11.5 KB | ||
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| 042 CNN for Credit Card Fraud Detection Part 3.mp4 | 91 MB | ||
| 043 CNN for Credit Card Fraud Detection Part 4.en.srt | 7.7 KB | ||
| 043 CNN for Credit Card Fraud Detection Part 4.mp4 | 61.7 MB | ||
| 43 | 789.8 KB | ||
| 044 Introduction to Recurrent Neural Networks.en.srt | 2.2 KB | ||
| 044 Introduction to Recurrent Neural Networks.mp4 | 39.6 MB | ||
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| 045 Vanishing Gradient Problem.en.srt | 2.4 KB | ||
| 045 Vanishing Gradient Problem.mp4 | 39.1 MB | ||
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| 046 LSTM and GRU.en.srt | 4.2 KB | ||
| 046 LSTM and GRU.mp4 | 59.9 MB | ||
| 46 | 511.6 KB | ||
| 047 RNN - LSTM for IMDB Review Classification Part 1.mp4 | 58.6 MB | ||
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| 047 RNN - LSTM for IMDB Review Classification Part 1.en.srt | 7.9 KB | ||
| 048 RNN - LSTM for IMDB Review Classification Part 2.en.srt | 7.6 KB | ||
| 048 RNN - LSTM for IMDB Review Classification Part 2.mp4 | 54.2 MB | ||
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| 049 RNN - LSTM for IMDB Review Classification Part 3.en.srt | 8.1 KB | ||
| 049 RNN - LSTM for IMDB Review Classification Part 3.mp4 | 62.9 MB | ||
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| 050 RNN - LSTM for Image Classification Part 1.en.srt | 7.5 KB | ||
| 050 RNN - LSTM for Image Classification Part 1.mp4 | 53.7 MB | ||
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| 051 RNN - LSTM for Image Classification Part 2.en.srt | 9.8 KB | ||
| 051 RNN - LSTM for Image Classification Part 2.mp4 | 78.5 MB | ||
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| 052 RNN - LSTM for Image Classification Part 3.en.srt | 8.3 KB | ||
| 052 RNN - LSTM for Image Classification Part 3.mp4 | 65 MB | ||
| 52 | 88.5 KB | ||
| 053 Google Stock Price Prediction with RNN and LSTM Part 1.en.srt | 14.4 KB | ||
| 053 Google Stock Price Prediction with RNN and LSTM Part 1.mp4 | 110.2 MB | ||
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| 054 Google Stock Price Prediction with RNN and LSTM Part 2.en.srt | 9 KB | ||
| 054 Google Stock Price Prediction with RNN and LSTM Part 2.mp4 | 54.6 MB | ||
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| 055 Google Stock Price Prediction with RNN and LSTM Part 3.en.srt | 11.9 KB | ||
| 055 Google Stock Price Prediction with RNN and LSTM Part 3.mp4 | 83.6 MB | ||
| 056 Google Stock Price Prediction with RNN and LSTM Part 4.en.srt | 17.8 KB | ||
| 056 Google Stock Price Prediction with RNN and LSTM Part 4.mp4 | 118.4 MB | ||
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| 057 Google Stock Price Prediction with RNN and LSTM Part 5.en.srt | 3.3 KB | ||
| 057 Google Stock Price Prediction with RNN and LSTM Part 5.mp4 | 22 MB | ||
| 57 | 363.1 KB | ||
| 058 Introduction to Transfer Learning.en.srt | 3.7 KB | ||
| 058 Introduction to Transfer Learning.mp4 | 47.5 MB | ||
| 58 | 840.3 KB | ||
| 059 Transfer Learning Part 1.en.srt | 10.1 KB | ||
| 059 Transfer Learning Part 1.mp4 | 80.2 MB | ||
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| 060 Transfer Learning Part 2.en.srt | 8 KB | ||
| 060 Transfer Learning Part 2.mp4 | 57.9 MB | ||
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| 061 Transfer Learning Part 3.en.srt | 8.9 KB | ||
| 061 Transfer Learning Part 3.mp4 | 76.4 MB | ||
| 062 Transfer Learning Part 4.en.srt | 6.4 KB | ||
| 062 Transfer Learning Part 4.mp4 | 47.7 MB | ||
| 62 | 270.2 KB | ||
| 063 Introduction to Natural Language Processing.en.srt | 4.5 KB | ||
| 063 Introduction to Natural Language Processing.mp4 | 67.9 MB | ||
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| 064 NLTK Introduction and Installation.mp4 | 29.9 MB | ||
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| 064 NLTK Introduction and Installation.en.srt | 3.4 KB | ||
| 065 Tokenization.en.srt | 8.3 KB | ||
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| 065 Tokenization.mp4 | 86.8 MB | ||
| 066 Stemming.mp4 | 81.7 MB | ||
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| 066 Stemming.en.srt | 7.7 KB | ||
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| 067 Lemmatization.en.srt | 4.1 KB | ||
| 067 Lemmatization.mp4 | 31.5 MB | ||
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| 068 Stop Words.en.srt | 8.9 KB | ||
| 068 Stop Words.mp4 | 98.5 MB | ||
| 69 | 558.2 KB | ||
| 069 POS Tagging.en.srt | 6.5 KB | ||
| 069 POS Tagging.mp4 | 74.4 MB | ||
| 070 Chunking.mp4 | 68.1 MB | ||
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| 070 Chunking.en.srt | 6.4 KB | ||
| 071 Named Entity Recognition.en.srt | 6.3 KB | ||
| 071 Named Entity Recognition.mp4 | 68.5 MB | ||
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| 072 Text Classification Part 1.en.srt | 13.8 KB | ||
| 072 Text Classification Part 1.mp4 | 131 MB | ||
| 073 Text Classification Part 2.en.srt | 11.8 KB | ||
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| 073 Text Classification Part 2.mp4 | 140 MB | ||
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| 074 Introduction to NumPy.en.srt | 1.1 KB | ||
| 074 Introduction to NumPy.mp4 | 16.3 MB | ||
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| 075 Numpy Arrays Part 1.en.srt | 4.1 KB | ||
| 075 Numpy Arrays Part 1.mp4 | 16.8 MB | ||
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| 076 Numpy Arrays Part 2.en.srt | 11.3 KB | ||
| 076 Numpy Arrays Part 2.mp4 | 54 MB | ||
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| 077 Numpy Arrays Part 3.en.srt | 5.3 KB | ||
| 077 Numpy Arrays Part 3.mp4 | 27.3 MB | ||
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| 078 Numpy Indexing and Selection Part 1.en.srt | 8.7 KB | ||
| 078 Numpy Indexing and Selection Part 1.mp4 | 45.1 MB | ||
| 079 Numpy Indexing and Selection Part 2.en.srt | 5.3 KB | ||
| 079 Numpy Indexing and Selection Part 2.mp4 | 26.6 MB | ||
| 080 Numpy Operations.en.srt | 4.2 KB | ||
| 080 Numpy Operations.mp4 | 29.2 MB | ||
| 081 Pandas Introduction.en.srt | 819.2 B | ||
| 081 Pandas Introduction.mp4 | 12.5 MB | ||
| 082 Pandas Series.en.srt | 12.8 KB | ||
| 082 Pandas Series.mp4 | 70 MB | ||
| 083 DataFrames Part 1.en.srt | 14 KB | ||
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| 086 Missing Data.en.srt | 7.9 KB | ||
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| 087 Groupby Method.en.srt | 9 KB | ||
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| 091 Matplotlib Part 1 - Functional Method.en.srt | 12.7 KB | ||
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| TutsNode.com.txt | 102.4 B | ||
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Description
Google has recently released TensorFlow 2.0, it has so many features that simplify the Model Development, Maintenance, Processes and Performance…
Why TensorFlow 2.0 ?
Whether you’re an expert or a beginner, TensorFlow 2.0 is an end-to-end platform that makes it easy for you to build and deploy ML models
With the TensorFlow 2.0,
1) Building the Model is very Easy
2) Robust ML production anywhere
3) Powerful experimentation for research
With this course you will have the Complete Understanding of TensorFlow 2.0 from very Beginning !
List of the Projects,
Project 1: CNN for Digit Recognition
Project 2: CNN for Breast Cancer Detection
Project 3: CNN for Predicting the Bank Customer Satisfaction
Project 4: CNN for Credit Card Fraud Detection
Project 5: RNN – LSTM for IMDB Review Classification
Project 6: Google Stock Price Prediction with RNN and LSTM
Main Topics Covered in this Course,
Part 1: Introduction (Section 1)
Part 2: Artificial Neural Networks (Section 2 – Section 4)
Part 3: Convolutional Neural Networks (Section 5 – Section 11)
Part 4: Recurrent Neural Networks (Section 12 – Section 15)
Part 5: Transfer Learning
Part 6: Natural Language Processing (Section 16)
Part 7: Data Analysis with Numpy, Pandas and Data Visualization with Matplotlib (Section 17 – Section 19)
Regards,
Vijay Gadhave
Who this course is for:
Anyone who wants to start a career in the field of Data Science
Anyone Passionate about Deep Learning and Artificial Intelligence
Requirements
Python Programming Basics
Last Updated 1/2021
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| 3.1 GB | freecoursewb | 2 years | 0 | 0 | |
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