5.6 GB | 9min 56s | mp4 | 2560X1440  | 16:9
Genre:eLearning |Language:English

Files Included :
FileName :1  Course Overview & Who Should Take This Course.mp4 | Size:  (61.15 MB)
FileName :2  What is TensorFlow - Understanding Its Role in the Deep Learning Ecosystem.mp4 | Size:  (78.09 MB)
FileName :3  TensorFlow vs PyTorch - When to Use Which.mp4 | Size:  (92.46 MB)
FileName :4  How to Get Help & Course Resources.mp4 | Size:  (83.2 MB)
FileName :5  Setting Up Your Python Environment with Anaconda.mp4 | Size:  (65.73 MB)
FileName :6  Installing TensorFlow - CPU vs GPU Versions.mp4 | Size:  (73.64 MB)
FileName :7  Installing Dependencies - NumPy, Matplotlib, Jupyter.mp4 | Size:  (84.31 MB)
FileName :8  Verifying GPU Support with CUDA and cuDNN.mp4 | Size:  (91.55 MB)
FileName :9  Your First Jupyter Notebook with TensorFlow.mp4 | Size:  (92.91 MB)
FileName :10  The Tensor - TensorFlow's Fundamental Data Structure.mp4 | Size:  (73.57 MB)
FileName :11  Tensor Operations - Creating, Reshaping, Indexing, Slicing.mp4 | Size:  (76.9 MB)
FileName :12  Tensor Data Types and Device Management (CPU vs GPU).mp4 | Size:  (92.16 MB)
FileName :13  Automatic Differentiation - The GradientTape API.mp4 | Size:  (89.05 MB)
FileName :14  Eager Execution vs Graph Execution - Understanding the Difference.mp4 | Size:  (94.97 MB)
FileName :15  The Keras API - Building Blocks of Neural Networks.mp4 | Size:  (86.06 MB)
FileName :16  The Training Loop - Forward Pass, Loss, GradientTape, Optimizer.mp4 | Size:  (80.6 MB)
FileName :17  Class tf Tensor - The Core Data Structure.mp4 | Size:  (95.57 MB)
FileName :18  Class tf keras layers Dense - Fully Connected Layers.mp4 | Size:  (86.69 MB)
FileName :19  Class tf keras layers Conv2D - Convolutional Layers.mp4 | Size:  (94.52 MB)
FileName :20  Class tf keras layers LSTM, GRU - Recurrent Layers.mp4 | Size:  (96.13 MB)
FileName :21  Class tf keras Model - Creating Custom Models.mp4 | Size:  (78.63 MB)
FileName :22  Class tf keras optimizers Optimizer - SGD, Adam, RMSprop.mp4 | Size:  (87.93 MB)
FileName :23  Class tf data Dataset - Efficient Data Pipelines.mp4 | Size:  (93.84 MB)
FileName :24  Class tf keras callbacks Callback - Monitoring and Customization.mp4 | Size:  (93.86 MB)
FileName :25  Method model compile() - Configuring the Model for Training.mp4 | Size:  (115.78 MB)
FileName :26  Method model fit() - Training the Model.mp4 | Size:  (95.28 MB)
FileName :27  Method model predict() - Making Predictions.mp4 | Size:  (97.69 MB)
FileName :28  Method model evaluate() - Evaluating Performance.mp4 | Size:  (115.89 MB)
FileName :29  Method  numpy() and  item() - Extracting Values from Tensors.mp4 | Size:  (96.2 MB)
FileName :30  Method tf function() - Converting to Graph Execution.mp4 | Size:  (88.45 MB)
FileName :31  Submodule tf keras layers - All Layer Types.mp4 | Size:  (89.71 MB)
FileName :32  Submodule tf keras activations - Activation Functions.mp4 | Size:  (93.61 MB)
FileName :33  Submodule tf keras initializers - Weight Initialization.mp4 | Size:  (111.91 MB)
FileName :34  Submodule tf keras regularizers - L1, L2 Regularization.mp4 | Size:  (110 MB)
FileName :35  Submodule tf keras callbacks - EarlyStopping, ModelCheckpoint, TensorBoard.mp4 | Size:  (126.03 MB)
FileName :36  Submodule tf keras applications - Pretrained Models for Transfer Learning.mp4 | Size:  (139.55 MB)
FileName :37  Device Agnostic Code - Writing Code That Works on CPU and GPU.mp4 | Size:  (112.01 MB)
FileName :38  Reproducibility - Setting Seeds for Deterministic Results.mp4 | Size:  (114.3 MB)
FileName :39  Model Persistence - Saving and Loading Models with  h5 and  keras.mp4 | Size:  (93.45 MB)
FileName :40  Debugging - Using tf debugging, tf print, and TensorBoard.mp4 | Size:  (95.08 MB)
FileName :41  Runtime Errors - Shape Mismatches and Dimension Errors.mp4 | Size:  (100.43 MB)
FileName :42  CUDA Errors - Out of Memory, Device Not Available.mp4 | Size:  (97.59 MB)
FileName :43  Gradient Errors - NaN, Exploding Vanishing Gradients.mp4 | Size:  (113.98 MB)
FileName :44  Overfitting and Underfitting - Detection and Prevention.mp4 | Size:  (100.14 MB)
FileName :45  Project 1 Linear Regression - Predicting Housing Prices.mp4 | Size:  (85.38 MB)
FileName :46  Project 2 Logistic Regression - Binary Classification.mp4 | Size:  (92.17 MB)
FileName :47  Project 3 Neural Network on MNIST - Digit Classification.mp4 | Size:  (87.46 MB)
FileName :48  Project 4 CNN on CIFAR-10 - Image Classification.mp4 | Size:  (102.6 MB)
FileName :49  Project 5 Transfer Learning with MobileNet - Fine-Tuning a Pretrained Model.mp4 | Size:  (93.02 MB)
FileName :50  Project 6 RNN for Sentiment Analysis - Text Classification.mp4 | Size:  (79.27 MB)
FileName :51  Project 7 Autoencoder for Dimensionality Reduction - Unsupervised Learning.mp4 | Size:  (107.03 MB)
FileName :52  Real Project 1 Image Classifier with Data Augmentation and Transfer Learning.mp4 | Size:  (119.84 MB)
FileName :53  Real Project 2 Time-Series Forecasting with LSTMs.mp4 | Size:  (128.36 MB)
FileName :54  Real Project 3 Generative Adversarial Network (GAN) - Generating Synthetic Imag.mp4 | Size:  (105.08 MB)
FileName :55  Top 10 Core Theory Questions - Deep Learning Fundamentals.mp4 | Size:  (90.77 MB)
FileName :56  Top 10 Coding Questions - TensorFlow Implementation.mp4 | Size:  (102.89 MB)
FileName :57  Explain Your Project - How to Present a TensorFlow Project in an Interview.mp4 | Size:  (116.48 MB)
FileName :58  Mock Interview - Simulated Questions and Answers.mp4 | Size:  (74.15 MB)
FileName :59  Final Challenge - Comprehensive End-to-End TensorFlow Project.mp4 | Size:  (112.7 MB)
FileName :60  Final Challenge Solution Walkthrough.mp4 | Size:  (88.4 MB)]
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