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1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data.zip.zip 558.2 MB
10. Convolution Neural Network (CNN) For Image Analysis/1. Introduction to CNN.mp4 192.4 MB
10. Convolution Neural Network (CNN) For Image Analysis/12.1 planesnet.json.json 190.7 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. Install Tensorflow.mp4 176.0 MB
7. Unsupervised Learning With Tensorflow and Keras/3.1 creditcard.csv.csv 150.8 MB
7. Unsupervised Learning With Tensorflow and Keras/7.1 creditcard.csv.csv 150.8 MB
5. Some Preliminary Tensorflow and Keras Applications/9.1 creditcard.csv.csv 150.8 MB
9. Deep Learning For Tensorflow & Keras/7.2 creditcard.csv.csv 150.8 MB
9. Deep Learning For Tensorflow & Keras/5. Wide & Deep Learning (Tensorflow).mp4 128.9 MB
5. Some Preliminary Tensorflow and Keras Applications/1. Theory of Linear Regression (OLS).mp4 118.2 MB
2. Introduction to Python Data Science Packages/4. Numpy Operations.mp4 117.2 MB
10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.mp4 114.2 MB
5. Some Preliminary Tensorflow and Keras Applications/9. Linear Classifier For Binary Classification.mp4 112.5 MB
6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4 112.2 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPython.mp4 105.9 MB
9. Deep Learning For Tensorflow & Keras/1. What is Artificial Intelligence.mp4 104.4 MB
5. Some Preliminary Tensorflow and Keras Applications/7. More on Linear Regressor Estimator.mp4 103.4 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4 98.8 MB
6. Some Basic Concepts/1. What is Machine Learning.mp4 95.8 MB
10. Convolution Neural Network (CNN) For Image Analysis/3. Activation Functions.mp4 95.7 MB
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03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 DistilBERT-App.zip 246.7 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/070 FastText Research Paper Review.mp4 167.8 MB
02 Fine Tuning BERT for Disaster Tweets Classification/016 BERT Intro - Disaster Tweets Dataset Understanding.mp4 115.1 MB
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06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/067 Configuring NGINX with uWSGI, and Flask Server.mp4 96.2 MB
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07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/079 Preparing Prediction APIs.mp4 84.7 MB
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07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/078 Making Your Server Ready.mp4 80.2 MB
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5. Module-5 Tree Based Models/4. 5.4 Boosting.mp4 11.3 MB
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4. Module-4 Black Box Method-Neural network and SVM/7. 4.7 Implementation of SVM in R.mp4 9.3 MB
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[TutsNode.com] - Reinforcement Learning Foundations/17 SARSAMAX (Q-learning).mp4 9.6 MB
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[TutsNode.com] - Reinforcement Learning Foundations/10 Exploration and exploitation.mp4 8.1 MB
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