Deep Learning With Tensorflow 2.0, Keras and Python
5.0
(1)
18 learners
What you'll learn
This course includes
- 18.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 50 lessons • 18.3 hours of video
Deep Learning With Tensorflow 2.0, Keras and Python
50 lessons
• 15.3 hours
Deep Learning With Tensorflow 2.0, Keras and Python
50 lessons
• 15.3 hours
- Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python) 03:39
- Why deep learning is becoming so popular? | Deep Learning Tutorial 2 (Tensorflow2.0, Keras & Python) 05:25
- What is a neuron? | Deep Learning Tutorial 3 (Tensorflow Tutorial, Keras & Python) 16:49
- Neural Network Simply Explained | Deep Learning Tutorial 4 (Tensorflow2.0, Keras & Python) 11:01
- Install tensorflow 2.0 | Deep Learning Tutorial 5 (Tensorflow Tutorial, Keras & Python) 02:37
- Pytorch vs Tensorflow vs Keras | Deep Learning Tutorial 6 (Tensorflow Tutorial, Keras & Python) 02:17
- Neural Network For Handwritten Digits Classification | Deep Learning Tutorial 7 (Tensorflow2.0) 36:39
- Activation Functions | Deep Learning Tutorial 8 (Tensorflow Tutorial, Keras & Python) 16:29
- Derivatives | Deep Learning Tutorial 9 (Tensorflow Tutorial, Keras & Python) 12:35
- Matrix Basics | Deep Learning Tutorial 10 (Tensorflow Tutorial, Keras & Python) 11:42
- Loss or Cost Function | Deep Learning Tutorial 11 (Tensorflow Tutorial, Keras & Python) 24:37
- Gradient Descent For Neural Network | Deep Learning Tutorial 12 (Tensorflow2.0, Keras & Python) 41:34
- Implement Neural Network In Python | Deep Learning Tutorial 13 (Tensorflow2.0, Keras & Python) 13:23
- Stochastic Gradient Descent vs Batch Gradient Descent vs Mini Batch Gradient Descent |DL Tutorial 14 36:47
- Chain Rule | Deep Learning Tutorial 15 (Tensorflow2.0, Keras & Python) 14:06
- Tensorboard Introduction | Deep Learning Tutorial 16 (Tensorflow2.0, Keras & Python) 14:56
- GPU bench-marking with image classification | Deep Learning Tutorial 17 (Tensorflow2.0, Python) 23:58
- Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python) 40:41
- Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python) 11:46
- Handling imbalanced dataset in machine learning | Deep Learning Tutorial 21 (Tensorflow2.0 & Python) 38:26
- Applications of computer vision | Deep Learning Tutorial 22 (Tensorflow2.0, Keras & Python) 09:44
- Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python) 23:54
- Image classification using CNN (CIFAR10 dataset) | Deep Learning Tutorial 24 (Tensorflow & Python) 28:12
- Convolution padding and stride | Deep Learning Tutorial 25 (Tensorflow2.0, Keras & Python) 06:35
- Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python) 31:33
- Transfer Learning | Deep Learning Tutorial 27 (Tensorflow, Keras & Python) 25:55
- Image classification vs Object detection vs Image Segmentation | Deep Learning Tutorial 28 02:32
- Popular datasets for computer vision: ImageNet, Coco and Google Open images | Deep Learning 29 13:02
- Sliding Window Object Detection | Deep Learning Tutorial 30 (Tensorflow, Keras & Python) 04:58
- What is YOLO algorithm? | Deep Learning Tutorial 31 (Tensorflow, Keras & Python) 16:05
- Object detection using YOLO v4 and pre trained model | Deep Learning Tutorial 32 (Tensorflow) 14:53
- What is Recurrent Neural Network (RNN)? Deep Learning Tutorial 33 (Tensorflow, Keras & Python) 16:00
- Types of RNN | Recurrent Neural Network Types | Deep Learning Tutorial 34 (Tensorflow & Python) 03:43
- Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python) 09:53
- Simple Explanation of LSTM | Deep Learning Tutorial 36 (Tensorflow, Keras & Python) 14:37
- Simple Explanation of GRU (Gated Recurrent Units) | Deep Learning Tutorial 37 (Tensorflow & Python) 08:15
- Bidirectional RNN | Deep Learning Tutorial 38 (Tensorflow, Keras & Python) 05:50
- Converting words to numbers, Word Embeddings | Deep Learning Tutorial 39 (Tensorflow & Python) 11:32
- Word embedding using keras embedding layer | Deep Learning Tutorial 40 (Tensorflow, Keras & Python) 21:35
- What is Word2Vec? A Simple Explanation | Deep Learning Tutorial 41 (Tensorflow, Keras & Python) 18:28
- Word2Vec Part 2 | Implement word2vec in gensim | | Deep Learning Tutorial 42 with Python 18:40
- Distributed Training On NVIDIA DGX Station A100 | Deep Learning Tutorial 43 (Tensorflow & Python) 14:16
- Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python) 33:19
- Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow) 26:16
- What is BERT? | Deep Learning Tutorial 46 (Tensorflow, Keras & Python) 23:03
- tf serving tutorial | tensorflow serving tutorial | Deep Learning Tutorial 48 (Tensorflow, Python) 19:52
- Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python) 15:35
- Dropout Regularization | Deep Learning Tutorial 20 (Tensorflow2.0, Keras & Python) 19:02
- Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python) 29:14
- Transformers Explained | Simple Explanation of Transformers 57:31
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