a249.耿直哥–深度学习必修课：进击算法工程师100节

• file:032.6-6 小批量梯度下降法.mp4
• file:023.5-5 Dropout.mp4
• file:037.6-11 梯度下降代码实现.mp4
• file:042.7-4 卷积层常见操作.mp4
• file:093.15-4 Hugging Face库介绍.mp4
• file:084【公众号：阿乐资源库】.13-6 图像生成.mp4
• file:039.7-1 全连接层问题.mp4
• file:100.16-5 下一步学习的建议.mp4
• file:056.9-6 RNN的长期依赖问题.mp4
• file:031.6-5 随机梯度下降法.mp4
• file:052.9-2 文本数据预处理.mp4
• file:025.5-7 梯度消失和梯度爆炸.mp4
• file:069.11-4 自注意力机制.mp4
• file:009.3-3 Jupyter Notebook快速上手.mp4
• file:054.9-4 随时间反向传播算法.mp4
• file:012.4-2 多层感知机.mp4
• file:013.4-3 前向传播和反向传播.mp4
• file:092.15-3 预训练模型.mp4
• file:081【公众号：阿乐资源库】.13-3 变分自编码器.mp4
• file:014.4-4 多层感知机代码实现.mp4
• file:099.16-4 深度学习最新发展趋势分析.mp4
• file:021.5-3 过拟合和欠拟合示例.mp4
• file:033.6-7 动量法.mp4
• file:097.16-2 CLIP模型.mp4
• file:003.1-3 课程使用的技术栈.mp4
• file:008.3-2 conda实用命令.mp4
• file:035.6-9 RMSProp_Adadelta算法.mp4
• file:057.10-1 深度循环神经网络.mp4
• file:028.6-2 损失函数.mp4
• file:017.4-7 分类问题.mp4
• folder:a249.耿直哥–深度学习必修课：进击算法工程师100节